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    RESPONSIBILITIES

    The Department of Natural Sciences is seeking excellent candidates for the role of Data Analyst in Bioinformatics. The successful candidate will have a strong commitment to excellence in support and advancement of Bioinformatics research. The candidate will work closely with the Bioinformatics faculty in the coordination of mentorship of students and maintaining undergraduate research activities. The candidate will be involved in Bioinformatics Lab support and the maintenance of software and equipment. Additional responsibilities include managing recruitment efforts, student progress tracking, and program management activities, organizing student participation in external opportunities such as mentored research, internships, and the successful execution of additional activities, as required, to support student success. Reporting responsibilities may include tracking research progress, monitoring student engagement in research, Bioinformatics lab support and supplemental instructional activities. Our student-focused department requires a candidate with a strong commitment to excellence in teaching and coordination, as well as a great appreciation for experiential learning to support our current models for high-impact practice in undergraduate STEM education.

    REQUIREMENTS

    Ph.D. or Master of Science in Bioinformatics or related areas.

    PREFERENCES

    Ph.D. in Bioinformatics/Computational Biology is preferred.

    TERMS

    Regular

    LOCATION

    Maryland, USA

    COMPENSATION

    $60,000 - $65,000 USD

    HOW TO APPLY

    Apply online: https://bowiestate.peopleadmin.com/postings/1894

    DEADLINE

    February 28, 2022

    BACKGROUND

    Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Computational and Predictive Biology Group at Oak Ridge National Laboratory (ORNL) with experience in computational biology and microbial ecology to take on an important role developing computational tools for designing synthetic communities of plant-associated microbes and investigating model community formation and functional dynamics.

    The candidate will work with a diverse and talented team of biologists, computer scientists, and developers in a joint effort between the Plant Microbe Interfaces (PMI https://pmiweb.ornl.gov) and DOE Systems Biology Knowledgebase (KBase https://www.kbase.us) projects, and will have many opportunities to broaden their knowledge, develop collaborative networks and their own research. This position provides the opportunity to conduct cutting-edge research with access to suitable high-performance computing resources and ORNL's Leadership Class Supercomputer (https://www.olcf.ornl.gov/olcf-resources/).

    RESPONSIBILITIES

    In this role, you will work collaboratively with PMI and KBase researchers to:
    • Develop software to model compositional and functional shifts of microbial communities
    • Develop software to help with design of synthetic microbial communities for improved plant phenotypes.
    • Organize relevant PMI experimental datasets on isolates and synthetic communities
    • Develop, package, and apply computational methods in the KBase platform, which will be shared and disseminated across the microbiome research community
    • Present research progress in project meetings and national/international conferences
    • Contribute to ongoing projects in the group, and successfully define and develop your own projects
    • Publish original work and scientific results in peer-reviewed journals

    REQUIREMENTS

    • A PhD in Computational Biology, Bioinformatics, Computer Science, Data Science, Chemical Engineering, Bioengineering, Biology or a related field completed within the last 5 years
    • Strong computational science expertise and a solid background in scientific programming, data science, computational techniques and/or computational biology
    • Programming experience using Python
    • Familiar with data analysis and understanding of data models to represent biological concepts
    • Experience in analyzing microbiome datasets

    PREFERENCES

    • Background in any of the following areas: modeling synthetic microbial community, modeling plant-microbe or plant-pathogen interactions, microbiology, ecological and evolutionary genomics
    • Experience with modeling tools such as COBRApy
    • Strong track record in developing software tools
    • Demonstrated strength and efficiency in technical writing
    • Strong experience with software engineering best practices
    • Excellent written and oral communication skills
    • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
    • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

    LOCATION

    Work will be performed onsite at Oak Ridge national laboratory, Oak Ridge, TN, USA (https://www.ornl.gov)

    COMPENSATION

    A highly competitive salary will be offered commensurate with qualifications and experience in addition to annual leave and medical benefits.

    HOW TO APPLY

    Please submit all application materials by February 10, 2022.
    • Cover Letter – Explain why you are interested in this position and how your background is relevant
    • Curriculum Vitae (CV) or Resume
    Apply directly online at https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-Computational-and-Predictive-Biology-TN-37830/790154500/

    DEADLINE

    February 25, 2022

    BACKGROUND

    The Max Planck Institute of Immunobiology and Epigenetics is looking for a Bioinformatician in Immunogenetics. The position will be available in the Boehm department (http://www.ie-freiburg.mpg.de/boehm). The Boehm group addresses a number of cutting-edge research questions related to the development and evolution of the vertebrate immune system (for recent review see, Annu Rev Immunol 36, 19,2018; Annu Rev Anim Biosci 2, 259,2014; Nat Rev Immunol 13, 831,2013). To support these studies, we seek an experienced bioinformatician with a strong background in sequencing data analysis, statistics and, ideally, prior exposure to immunogenetics studies. This position is open immediately and funded for two years, with the possibility of extension

    RESPONSIBILITIES

    • Design of sequencing experiments
    • Processing and quality control of NGS datasets of whole genome and amplicon bisulfite sequencing
    • Discovery of differentially methylated regions
    • Variant calling
    • Analysis of differential gene expression (bulk and single-cell RNA) and gene module calling
    • TCR clonotyping
    • Analyses of sequence homologies and conservation
    • Reference genome and transcriptome assembly and annotation in non-model organisms
    • Phylogenetic and comparative genomics analyses
    • Development and implementation of custom analysis pipelines in collaboration with wetlab scientists

    REQUIREMENTS

    We are looking for a dedicated and motivated team player with strong communication skills and good command of the English language, holding a MSc or PhD degree in bioinformatics or biology with a clear computational component. The successful applicant will have a proven record in the analysis of large, high-dimensional genome-wide datasets and computational skills (Python or R) in a Linux environment. Additional pluses include experience in the following:
    • High-performance computing in a cluster environment (e.g. slurm)
    • Modern software development, deployment (conda), and version control (git)
    • Workflow management (snakemake) and documentation (notebooks)
    • Advanced statistical data analysis

    TERMS & COMPENSATION

    • Salary according to your qualification and professional experience according to TVöD
    • Social benefits in line with public service
    • Professional training and development opportunities
    • Challenging work in a modern working environment
    • Family-friendly offers (affiliated day care center at the institute, parent-child room, breastfeeding room, pme family service

    LOCATION

    Located in a region that connects Germany, France and Switzerland, our institute offers an international research environment with outstanding infrastructure facilities and a positive working atmosphere that places a high value on work-life balance.

    HOW TO APPLY

    Have we sparked your interest? Please submit your complete application documents including a 1 page motivation summary, CV and contact details of referees via our online application portal at http://www.ie-freiburg.mpg.de by March, 31st, 2022.

    For informal inquiries please contact: boehm[at]ie-freiburg.mpg

    DEADLINE

    March 31st, 2022

    RESPONSIBILITIES

    Berkeley Lab's Biological Systems & Engineering Division (BSE) is looking for a Research Associate to provide technical and research support for microbial culturing, molecular cloning, and genetic transformations.

    What You Will Do:
    • Provide research and technical support to meet project goals and deadlines, including the collection and processing of data along with minimal analysis.
    • Perform molecular cloning and microbiology work routinely such as miniprep plasmids, PCR, gel extraction, DNA assembly, transformation, colony screening etc.
    • Implement transformation protocols for multiple non-model bacteria.
    • Perform basic lab duties, including maintaining and purchasing consumables, personal lab bench, and common area organization.
    • Maintain lab notebook and instrumentation.
    • Participate in group meetings and prepare reports as needed.

    REQUIREMENTS

    What is Required:
    • A Bachelor's Degree in Biology, Microbiology, Molecular Biology, Biochemistry, or a related field and a minimum of 1 year of directly relevant lab experience or an equivalent combination of education and experience.
    • Experience with molecular biology techniques including genomic DNA and plasmid preparation, PCR, DNA gel electrophoresis, restriction digestion, ligation, transformation, colony picking and screening.
    • Proficiency with basic office software (Google Docs, MS Excel, MS PowerPoint, etc)
    • Effective interpersonal skills including the ability to work independently and collaboratively in a multidisciplinary laboratory environment.
    • Strong oral and written communication skills including the ability to maintain detailed and accurate laboratory documents and records.

    TERMS & COMPENSATION

    • This is a full time career appointment, non-exempt from overtime pay (hourly paid).
    • Salary is commensurate with experience.
    • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

    LOCATION

    Work will be performed onsite at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

    HOW TO APPLY

    For full consideration, please apply by February 3, 2022 with the following application materials:
    • Cover Letter – Describe your interest in this position and the relevance of your background.
    • Curriculum Vitae (CV) or Resume.
    Apply directly online at http://50.73.55.13/counter.php?id=219371 and follow the on-line instructions to complete the application process.

    ABOUT US

    Berkeley Lab (LBNL, http://www.lbl.gov) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.

    Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab – Click Here (https://benefits.lbl.gov).

    POLICY

    Based on University of California Policy – SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

    Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

    Equal Opportunity and IDEA Information Links:
    Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html) under 41 CFR 60-1.4.

    RESPONSIBILITIES

    Berkeley Lab's Biological Systems & Engineering Division (BSE) is looking for a Computational Biologist Project Scientist to join their Quantitative Metabolic Modeling Group!

    In this role, you will use Artificial Intelligence to design living cells for the production of renewable energy and bioproducts, and combat climate change. You will use Artificial Intelligence and Machine learning to make synthetic biology predictable, and enable a circular carbon economy.

    As part of the Quantitative Metabolic Modeling Group (https://qmm.lbl.gov), led by Héctor García Martín (http://hectorgarciamartin.com), you will work collaboratively to integrate microbial phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict and explain the outcomes of bioengineering interventions. As part of the Agile BioFoundry (https://agilebiofoundry.org/home/about/) at the Joint BioEnergy Institute (https://www.jbei.org), you will work closely with an interdisciplinary team of bench scientists, automation engineers, and software developers in devising methods for high-throughput data collection and analysis for feedback into experimental design.

    What You Will Do:
    • Develop quantitative predictive models of cell metabolism.
    • Integrate transcriptomic, proteomic, and metabolomic data into quantitative models.
    • Use machine-learning approaches to predict bioengineering outcomes.
    • Develop new machine-learning algorithms.
    • Develop and validate kinetic models for microbial metabolism.
    • Develop and optimize code and algorithms for predictive models.
    • Partner with bench scientists to guide and propose new experiments and use available data to its full potential.
    • Prepare research results for publication and for presentations at scientific and internal meetings.
    • Develop automated experiments in collaboration with automation engineers to gather data for predictive models.
    • Provide oversight and direction to a team of Students, Postdoctoral Fellows, and Research Associates.
    • Participate in group meetings, steering committee meetings, project retreats and seminars.
    • Assist in preparation of grant proposals.

    REQUIREMENTS

    What is Required:
    • A minimum of 3 years of relevant experience in Machine Learning beyond the highest customary degree in Systems Biology, Bioengineering, Computational Biology, Bioinformatics, Applied Mathematics, Theoretical Physics, Computer Science, Electrical Engineering, or a closely related discipline.
    • Significant experience in Python or other major programming languages.
    • Strong analytical skills and mathematical background.
    • Strong oral and written communication skills including the ability to accurately document results and present information.
    • Demonstrated interpersonal skills including the ability to perform collaborative research in an interdisciplinary team environment.
    What We Prefer:
    • PhD in Systems Biology, Bioengineering, Computational Biology, Bioinformatics, Applied Mathematics, Theoretical Physics, Computer Science, Electrical Engineering, or a closely related discipline.
    • Experience with Deep Learning techniques, Lab Automation (e.g. liquid handlers), Metabolic Flux Analysis, Experimental Metabolic Engineering bench work (e.g. construct design, gene knockout, cloning and expression).

    TERMS & COMPENSATION

    • This is a full time, exempt from overtime pay (monthly paid), 2 year, Term appointment with the possibility of renewal up to a maximum of 5 years total based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
    • Salary is commensurate with experience.
    • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

    LOCATION

    Work will be performed onsite at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

    HOW TO APPLY

    For full consideration, please apply by February 9, 2022 with the following application materials:
    • Cover Letter – Describe your interest in this position and the relevance of your background.
    • Curriculum Vitae (CV) or Resume.
    Apply directly online at http://50.73.55.13/counter.php?id=219270 and follow the on-line instructions to complete the application process.

    ABOUT US

    Berkeley Lab (LBNL, http://www.lbl.gov) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.

    The Biological Systems & Engineering Division's vision is to lead efforts that combine the power of biology with the tools of engineering to develop sustainable energy and manufacturing solutions to improve human health.

    Berkeley Lab's Postdoc Program is committed to providing Postdoctoral Researchers and Visiting scholars with a positive and impactful experience to jump-start their career through premium research and career development, networking opportunities, mentoring programs, and a strong community. For more information, please visit our Berkeley Lab Postdoc Resources site (http://postdocresources.lbl.gov) and our Berkeley Lab Postdoc Association site (http://postdoc.lbl.gov).

    POLICY

    Based on University of California Policy – SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

    Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

    Equal Opportunity and IDEA Information Links:
    Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html) under 41 CFR 60-1.4.

    RESPONSIBILITIES

    Berkeley Lab's Biological Systems & Engineering Division (BSE) is looking for a Computational Biologist Postdoctoral Fellow to join their Quantitative Metabolic Modeling Group!

    In this role, you will use Artificial Intelligence to design living cells for the production of renewable energy and bioproducts, and combat climate change. You will use Artificial Intelligence and Machine learning to make synthetic biology predictable, and enable a circular carbon economy.

    As part of the Quantitative Metabolic Modeling Group (https://qmm.lbl.gov), led by Héctor García Martín (http://hectorgarciamartin.com), you will work collaboratively to integrate microbial phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict and explain the outcomes of bioengineering interventions. As part of the Agile BioFoundry (https://agilebiofoundry.org/home/about/) at the Joint BioEnergy Institute (https://www.jbei.org), you will work closely with an interdisciplinary team of bench scientists, automation engineers, and software developers in devising methods for high-throughput data collection and analysis for feedback into experimental design.

    What You Will Do:
    • Integrate and analyze data.
    • Develop quantitative predictive models of cell metabolism.
    • Integrate transcriptomic, proteomic, and metabolomic data into quantitative models.
    • Use Monte Carlo approaches to more precisely measure and predict metabolic fluxes.
    • Use machine-learning and data-mining approaches to improve bioproduct yields.
    • Develop new machine-learning algorithms.
    • Develop and optimize code and algorithms for predictive models.
    • Calculate metabolic flux distributions from carbon labeling data and flux balance analysis.
    • Develop and validate kinetic models for microbial metabolism.
    • Partner with experimentalists to guide and propose new experiments and use available data to its full potential.
    • Explore and address problems that may affect the achievement of research objectives and deadlines.
    • Prepare research results for publication and for presentations at scientific and internal meetings.

    REQUIREMENTS

    What is Required:
    • PhD in Systems Biology, Bioengineering, Computational Biology, Bioinformatics, Applied Mathematics, Theoretical Physics, Computer Science, Electrical Engineering, or a closely related discipline.
    • A successful record of publications as demonstrated through research experience.
    • Significant experience in Python or other major programming languages.
    • Strong analytical skills and mathematical background.
    • Effective organization skills including the ability to prioritize work and meet deadlines.
    • Strong oral and written communication skills including the ability to write standard research reports/publications and present findings.
    • Demonstrated interpersonal skills including the ability to perform collaborative research in an interdisciplinary team environment.
    What We Prefer:
    • Knowledge of microbiology and bacterial metabolism.
    • Experience with metabolic flux analysis and experimental lab work.

    TERMS & COMPENSATION

    • This is a full time, exempt from overtime pay (monthly paid), 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience.
    • This position is represented by a union for collective bargaining purposes with predetermined postdoctoral step rates dependent on years of experience post-degree.
    • Salary is commensurate with experience.
    • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

    LOCATION

    Work will be performed onsite at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

    HOW TO APPLY

    For full consideration, please apply by February 9, 2022 with the following application materials:
    • Cover Letter – Describe your interest in this position and the relevance of your background.
    • Curriculum Vitae (CV) or Resume.
    Apply directly online at http://50.73.55.13/counter.php?id=219262 and follow the on-line instructions to complete the application process.

    ABOUT US

    Berkeley Lab (LBNL, http://www.lbl.gov) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.

    The Biological Systems & Engineering Division's vision is to lead efforts that combine the power of biology with the tools of engineering to develop sustainable energy and manufacturing solutions to improve human health.

    Berkeley Lab's Postdoc Program is committed to providing Postdoctoral Researchers and Visiting scholars with a positive and impactful experience to jump-start their career through premium research and career development, networking opportunities, mentoring programs, and a strong community. For more information, please visit our Berkeley Lab Postdoc Resources site (http://postdocresources.lbl.gov) and our Berkeley Lab Postdoc Association site (http://postdoc.lbl.gov).

    POLICY

    Based on University of California Policy – SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

    Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

    Equal Opportunity and IDEA Information Links:
    Know your rights, click here (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html) under 41 CFR 60-1.4.

    BACKGROUND

    Applications are invited for appointment as Post-doctoral Fellow (PDF) in the Department of Clinical Oncology (Ref.: 511416), to commence as soon as possible for one year, with the possibility of renewal.

    The Department provides an open, supportive, dynamic and motivating academic environment with the possibility to work on the cutting-edge research project related to the spatial transcriptome study to identify the biomarkers for cancer metastasis. The activities of PDF will be integrated in a multidisciplinary team.

    References:
    1. Gong L, Kwong D, Dai W, Wu P, Li S, Yan Q, Zhang Y, Zhang B, Fang X, Liu L, Luo M, Liu B, Chow LKY, Chen Q, Huang J, Lee VH, Lam KO, Lo AWI, Chen Z, Wang Y, Lee A, and Guan XY. Comprehensive single-cell sequencing reveals the stromal dynamics and tumor-specific characteristics in the microenvironment of nasopharyngeal carcinoma. Nat Commun. 2021; 12(1).
    2. Dai W, Chung DLS, Chow LKY, Yu VZ, Lei LC, Leong MML, Chan CKC, Ko JMY, and Lung ML. Clinical Outcome-Related Mutational Signatures Identified by Integrative Genomic Analysis in Nasopharyngeal Carcinoma. Clin Cancer Res. 2020; 26(24).

    REQUIREMENTS

    Applicants should be self-motivated, able to work independently as well as in a team, and able to help supervise PhD students. They should also have excellent communication skills in written and spoken English, good trouble-shooting skills, and effective collaboration skills.

    Applicants should possess a Ph.D. degree in Biomedical Sciences, Bioinformatics, Computer Science, or a related discipline, with a good research publication record and strong programming skills. Preference will be given to those with previous experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial transcriptome analysis.

    TERMS & COMPENSATION

    A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

    LOCATION

    Hong Kong

    HOW TO APPLY

    The University only accepts online application for the above post (https://jobs.hku.hk/en/job/511416/postdoctoral-fellow). Applicants should apply online and upload an up-to-date C.V., 2 reference letters and a cover letter outlining research experience and publication record.

    DEADLINE

    Review of applications will start from January 17, 2022 and continue until January 31, 2022, or until the post is filled, whichever is earlier.

    SUMMARY

    The Simons Foundation is seeking a Bioinformatics / Senior Bioinformatics Engineer (dependent upon experience) to develop and support whole exome and genome sequence data analysis pipelines in both research and operational modalities. This position will report to the Director of Data and Analytics in the informatics group and will work with other engineers and analysts in the informatics group, as well as with clinical and basic research teams at the foundation. This position will be based in Simons Foundation's offices in New York City.

    RESPONSIBILITIES

    • Design, develop and operate computational pipelines for next-generation sequencing data.
    • Work on both large-scale projects and small custom tasks that span a wide variety of analysis problems.
    • Develop new and/or improve upon existing algorithms for variant detection (SNPs and indels) and structural variant detection (CNVs, inversions and translocations) for clinical research purposes.
    • Develop and maintain a knowledge base of variants and annotations discovered in processing of samples.

    REQUIREMENTS

    Education:
    • Master's degree or higher in bioinformatics, computational sciences or related field.
    Required Attributes:
    • At least 3+ years' work experience in research-and-development setting in bioinformatics
    • Experience with next-generation sequencing data
    • Experience in Linux/Unix cluster environment
    • Advanced programming skills in Python
    • Strong background in algorithm development, statistical methods, machine learning and distributed computing.
    • Extensive knowledge of computational genomics and experience with high-throughput data analysis
    • Outstanding personal initiative and the ability to work effectively as part of a team
    • Excellent verbal and written communication skills
    Desirable Experience:
    • Familiarity with C++, Perl, Matlab and R is desirable.
    • Familiarity with databases – relational and noSQL – cloud computing and web services is desirable.

    HOW TO APPLY

    Apply Here: https://www.click2apply.net/j7226KCOmaWacwGWsJ7EQ

    POLICY

    The Simons Foundation's Diversity Commitment:
    Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment.The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply.We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.

    PI161541793

    BACKGROUND

    Our unit has built a global network of over 40 partners around the world and was originally founded to support the control and elimination of malaria through the use of genomic epidemiology and genomic surveillance. During the current pandemic, our unit has built the world-leading UK SARS-CoV-2 genomic surveillance operations, currently processing more than 64,000 samples per week to detect new variants and other emerging threats to public health, working in partnership with the UKHSA. Experience gained from this work is being shared to support over 20 partners around the world in their efforts to monitor and control SARS-CoV-2.

    RESPONSIBILITIES

    We are looking for a Head of Analysis Ready Data (Senior Bioinformatician) who is passionate about working alongside partners around the globe to build, operate and maintain a set of bioinformatic pipelines and standard analyses to support large-scale genomic surveillance of major epidemic and endemic disease pathogens and vectors. This senior leadership role will be part of our growing genomic surveillance unit and will build and lead a team that is accountable for producing high-quality, and timely, genomic data for some of the world's largest genomic surveillance programmes. You will have well developed leadership skills, a strong background in bioinformatics and a collaborative style.

    REQUIREMENTS

    Technical Skills:
    • Post-graduate training in computational genomics
    • Familiarity with genomic and bioinformatics tools and methods, especially for short read (Illumina) sequencing, including instrument QC, read mapping and variant calling
    • Strong computer programming skills for large-scale data management
    • Understanding of and experience with software engineering best practices
    • Knowledge of basic statistical methodologies
    • Ability to execute complex analytical projects involving multiple partners
    • Ability to rapidly gain practical knowledge in new operational environments
    • Experience of working with scientific research teams
    Competencies and Behaviours:
    • Ability to influence senior internal and external stakeholders
    • Ability to lead an area of work and to work effectively with colleagues leading other areas of work within a team environment
    • Ability to communicate effectively about complex technical matters with both technical experts and non-specialists
    • Proven ability to work independently
    • Effective written and oral communication and proven ability to work in a collaborative environment

    PREFERENCES

    Technical Skills:
    • Deep understanding infectious diseases biology and epidemiology
    • Knowledge and experience in population genetics evidenced by publication record
    • Large-scale computing using on premise and cloud based HPC facilities
    • Previous experience working in a product-delivery focused environment
    Competencies and Behaviours:
    • Ability to quickly and effectively forge relationships with international, external and internal stakeholders

    TERMS

    Permanent: Full Time/ Flexible working considered

    LOCATION

    Cambridgeshire, United Kingdom

    COMPENSATION

    £74,891 - £88,000

    HOW TO APPLY

    Apply online: https://jobs.sanger.ac.uk/vacancy/head-of-analysis-ready-data-468510.html

    DEADLINE

    3rd February 2022

    POLICY

    We are committed to fostering an inclusive, stimulating and rewarding culture where everyone can thrive and diversity is celebrated. Click to view our reasonable adjustment statement:
    https://jobs.sanger.ac.uk/incl-rebrand-2020/docs/Adjustments%20for%20Job%20applicants.pdf

    BACKGROUND

    Pathogen Informatics embrace agile methods and promote open source software development. In close collaboration with the scientists in the programme, we develop workflows and platforms for the processing, tracking and sharing of large volumes of genomic data related to infectious diseases, such as malaria or pneumonia. We also support the scientists by developing and deploying software and services that advance their research, and provide direct informatics advice. As a dynamic team we share all elements of our work, so you would be involved in a variety of different projects, with a focus on leading the development of workflows for the processing of high-throughput genomic data and establishing closer connections with the scientific groups

    RESPONSIBILITIES

    We are recruiting a Principal Bioinformatician for Pathogen Informatics, a software development and bioinformatics support team in the Parasites and Microbes programme at the Wellcome Sanger Institute.

    The Opportunity:
    We are looking for a scientifically minded individual who is enthusiastic to lead our bioinformatics activities by developing the team's bioinformatics portfolio and setting standards for NGS data processing in the team and the wider department. You have ample experience in the processing of NGS data and a solid informatics background. You are familiar with modern workflow management systems like NextFlow and are eager to lead the design and development of new pipelines. You enjoy working with people and guiding junior colleagues in their professional development. Most importantly, you are motivated to support the science and make a difference in the fight on infectious diseases to improve global health.

    REQUIREMENTS

    Technical Skills:
    • Postgraduate qualification or equivalent working experience in Bioinformatics or a related discipline
    • Working experience in genomics and the processing and analysis of high-throughput NGS data
    • Experience of writing bioinformatics pipelines with modern workflow management systems, ideally NextFlow
    • Experience of writing software in Python
    • Experience with modern software development practices, including version control and continuous integration
    • Working knowledge of UNIX
    Competencies and Behaviours:
    • Experience of mentoring or supervising others
    • Experience of successfully leading projects
    • Ability to work independently and organise the own workload
    • Ability to communicate effectively about complex technical matters with both technical experts and non-specialists
    • Effective written and oral communication and proven ability to work in a collaborative environment
    • Ability to quickly and effectively forge relationships with a range of stakeholders at all levels

    PREFERENCES

    Technical Skills:
    • Demonstrable experience of software testing
    • Demonstrable experience of software containerization
    • Experience of working in an Agile team
    • Experience of working on bacterial or eukaryotic pathogens

    TERMS

    Permanent, Full Time/ Part Time/ Flexible Working

    LOCATION

    Cambridge, Cambridgeshire, UK

    COMPENSATION

    £46,199 - £54,000

    HOW TO APPLY

    Please apply online with your CV and cover letter outlining your suitability for the role, see link below:
    https://jobs.sanger.ac.uk/vacancy/principal-bioinformatician-469262.html

    DEADLINE

    30th January 2022

    POLICY

    We are committed to fostering an inclusive, stimulating and rewarding culture where everyone can thrive and diversity is celebrated. Click to view our reasonable adjustment statement:
    https://jobs.sanger.ac.uk/incl-rebrand-2020/docs/Adjustments%20for%20Job%20applicants.pdf

    BACKGROUND:
    The George Mason University Department of Bioengineering, within the College of Engineering and Computing (CEC), invites applications for one or more faculty positions beginning Fall 2022 as part of a new cluster hiring initiative with the theme of Computational Systems Biomedicine.

    Senior candidates with established records of outstanding research and excellent teaching will be eligible for tenured Associate Professor or Professor positions. Candidates may be considered for joint appointments with other departments within the School of Computing and the College of Science, especially with either the Department of Computer Science or Statistics.

    George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason's academic and culturally inclusive environment. We encourage applications from talented scholars with diverse backgrounds, particularly those who identity as members of an historically or systemically minoritized group who are committed to being part of and contributing to a nationally and internationally recognized university community.

    RESPONSIBILITIES:
    We are seeking candidates to lead the new Computational Systems Biomedicine research initiative at Mason. The initiative aims to improve health outcomes by utilizing computational methods across multiple scales to develop improved diagnostic, therapeutic, prognostic and prevention strategies. The successful candidates will develop the vision for this research initiative by synergistically leveraging existing areas of expertise at Mason and in collaboration with external partner institutions and will be expected to develop a nationally-recognized and externally-funded research program. Successful candidates will be expected to teach at the undergraduate and graduate levels; advise students; participate in all aspects of the University's mission; serve the profession; and embrace and help advance the University's strong commitment to diversity, equity and inclusion.

    REQUIREMENTS:
    Required Qualifications:
    Successful candidates typically will have a PhD in Bioengineering, Biology, Biochemistry, Computer Science, Statistics or a related field; candidates with a PhD in other fields should have a strong publication record in computational methods with applications in biomedicine. All candidates should have a demonstrated record of excellence and productivity in research, and a commitment to high-quality teaching.

    Preferred Qualifications:
    We are particularly interested in candidates with a demonstrated track record of interdisciplinary research, integrating knowledge of cellular or molecular mechanisms of disease with clinical and epidemiological factors, including social determinants of health. Candidates who can build collaborations with other departments within the College and across the University will benefit from the strong support and encouragement for interdisciplinary collaboration at Mason. Candidates with demonstrated experience collaborating with external partners/universities and leading interdisciplinary teams will be given preference. Mason places a high value on engaging students from traditionally underrepresented groups, and candidates from these groups are especially encouraged to apply.

    HOW TO APPLY:
    Special Instructions to Applicants:
    For full consideration, applicants must apply for position number F714AZ; at https://jobs.gmu.edu; complete and submit the online application; and upload a statement of professional goals including your perspective on teaching and research (to attach as 'Other Doc'), a complete CV with publications, a statement on what diversity and inclusion means to you (to attach as 'Other Doc'), and the names of three professional references. The review of applications will begin January 14, 2022 and continue until the position is filled.

    ABOUT US:
    About the Departments:
    The proposed Computational Systems Biomedicine cluster is a joint initiative between five departments: Bioengineering, Computer Science, Statistics, Systems Biology, and Chemistry and Biochemistry. The cluster will leverage the rich ecosystem formed by the participating departments and their research and training programs. The cluster will also be able to leverage a number of collaborations in the broader Mason ecosystem including College of Health and Human Services and the College of Science, as well as existing centers and core facilities, such as the Center for Adaptive Systems of Brain Body Interactions (a university-level transdisciplinary center that is the home for an NSF National Research Traineeship program), Center for Applied Proteomics and Molecular Medicine (a CAP/CLIA compliant facility for translational research in personalized medicine), Institute for Advanced Biomedical Research (a state of the art facility for experimental biomedical research), Biomedical Research Laboratory (a high-security facility with BSL-2 and BSL-3 laboratories for infectious disease research) and a research-dedicated 3T MRI core facility.

    The participating departments have a number of faculty with expertise in computational modeling and experimental biomedical research.

    The Bioengineering department has experts in computational hemodynamics, biomechanics, neuroscience and neuroinformatics. The department has collaborative relationships with several medical centers in the area, including INOVA, Childrens' National, Walter Reed National Military Medical Center, National Rehabilitation Hospital, and national laboratories including the NIH, NIST, NRL, FDA as well as the Howard Hughes Medical Institute at Janelia Farms. The Bioengineering Alliance includes a number of industry and federal representatives.

    The School of Systems Biology (SSB) has expertise in translational medicine, molecular biology, bioinformatics, and computational biology. This includes experimental scientists covering genomics, transcriptomics, proteomics, and metabolomics as well as experimental measurements in live cells with electrophysiological and imaging methods that span spatial and temporal scales. Bioinformaticians and biomolecular modeling experts in SSB are leveraging experimental data and working at different scales from the molecular to the organ levels including use of multiscale modeling to integrate information across scales.

    The Department of Chemistry & Biochemistry has expertise in the field of drug discovery including synthetic chemistry, biophysics, and bioanalytical chemistry and faculty are actively exploring drug targets in infectious diseases, COPD, and pulmonary fibrosis.

    The Statistics Department has extensive expertise in statistics and data science, including core areas such as biostatistics and bioinformatics; longitudinal, spatial, functional, and geometric data; clinical trials and surveys; statistical computing, data mining, high-dimensional and Big data; measurement errors, selection biases, and mixtures; Bayesian and robust statistics; simultaneous inference, multiple comparisons, and extreme value theory; and emerging areas, such as crowdsourcing, statistical privacy, and security analytics, electronic health records, AI/ML, data compression, feature selection, statistical imaging, and causal inference, and interface of statistics and computer science. Statistics faculty has collaborated broadly with biomedical sciences, and many other natural and social sciences from astronomy to CS and law. It has a group collaboration with INOVA Health supported in part by a parent NIH U01 award.

    The Department of Computer Science has strong research groups in and computational methods related to healthcare, systems and networks, machine learning, deep learning, and data mining, artificial intelligence, theory, databases, bioinformatics, human-computer interaction, and software engineering. The department has seen rapidly growing enrollment, with over 2000 undergraduates, 500 MS and 150 PhD students. The department has nearly $5 million in annual research expenditures, 17 recipients of the prestigious CAREER/Young Investigator Awards, four IEEE Fellows, three ACM Fellows, and one AIMBE Fellow.

    A Force for Innovation in the Heart of Northern Virginia's Technology Corridor

    The College of Engineering and Computing at George Mason University is comprised of the Volgenau School of Engineering and a new School of Computing. The College is a fast-growing force for innovation in research and education, and ranked in the top 10 among public institutions in the nation in research expenditures in Computer and Information Sciences. Ranked nationally in the top 100 in both undergraduate and graduate education, the College boasts more than 9,100 students in 37 undergraduate, master's, and doctoral degree programs, including several first-in-the-nation offerings. Of the 271 full-time faculty who comprise the College, 91 are tenured, 59 are tenure-track, 89 are instructional faculty, and 32 are research faculty. As part of a nationally ranked research university, its research teams expended $75 million in sponsored research awards in the past year and has projects with over $400 million in current and anticipated awards. The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more. The College encourages multidisciplinary research and provides ample opportunity for faculty to work with other disciplines.

    George Mason University is the fastest growing public research university in the nation. It is the largest and most diverse public research university in Virginia, with an enrollment of over 39,000 students studying in over 200 degree programs. It was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education, and is the youngest R1 institution in the nation, and is ranked the best young university in the nation. Mason is an innovative, entrepreneurial institution with nation dal distinction in a range of academic fields. Mason has campuses in Fairfax, Arlington, Prince William and Incheon, South Korea. Its proximity to Washington, D.C. provides unmatched geographical access to a number of federal agencies and national laboratories. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation, providing excellent opportunities for interaction with industry. The region is consistently rated as being among the best places to live in the country, and has an outstanding local public school system. In addition, the university has been highly effective in responding to the COVID-19 pandemic, creating a safe environment for faculty, students and staff.

    In conjunction with Amazon's decision to establish a second headquarters in Northern Virginia, the Commonwealth of Virginia announced a multi-year plan to invest in the growth of degree programs in computing. George Mason University has committed to accelerate its plans to grow its capacity in computing and high-tech fields. Among the exciting initiatives being undertaken by the university are the launch of the Institute for Digital InnovAtion, a university think tank and incubator to serve the digital economy, and the expansion of its Arlington Campus with a planned 400,000 square foot building that will house the new Institute for Digital InnovAtion. These initiatives reflect hundreds of millions of dollars in new investment by Mason that will rapidly elevate the university's already leading national position in computing and related areas.

    POLICY:
    George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.

    BACKGROUND

    Tremendous opportunities for discovery are emerging in the biological and biomedical sciences, as well as in traditional physical and social sciences, but they will require the combined power of theory, data analysis, and simulation. In the biomedical sciences, for example, researchers are being confronted by an explosion of information from genome sequencing, gene expression profiling, proteomics, multi-electrode recording, and multiple high-resolution imaging modalities. The mission of the Center for Computational Biology is to create new computational frameworks that will enable scientists to analyze the large and complex data sets that are being generated by these new experimental technologies. Principle areas of research include biophysical modeling, development dynamics, genomics, molecular biophysics, and systems biology.

    The Flatiron Institute is dedicated to advancing scientific research through computational methods, including data analysis, theory, modeling and simulation. It currently houses five science centers, focused on computational astrophysics (CCA), computational biology (CCB), computational mathematics (CCM), computational neuroscience (CCN) and computational quantum physics (CCQ), as well as a scientific computing core.

    CCB and CCM have created a joint research group in Structural and Molecular Biophysics. The goals of this new group include the creation of new computational methods that will enable scientists to analyze the large, complex data sets that are being generated by new experimental technologies, as well as new simulation techniques for molecular and structural modeling.

    DESCRIPTION

    Applications are invited for a post-doctoral Flatiron Research Fellow (FRF) position with Structural and Molecular Biophysics at the Center for Computational Biology (CCB).

    In addition to conducting independent research, Flatiron Research Fellows in Structural and Molecular Biophysics will apply and develop methods in molecular dynamics (MD) simulation to better understand mechanisms of biological importance, such as ion channel function. In addition, they will work closely with experimental data and experimentalists to better combine single molecule and/or cryo-EM data with MD to improve our understanding of protein dynamics.

    More generally, Flatiron Research Fellows will disseminate their results through scientific publication or software release, collaborate with other members of the Center for Computational Biology and/or other Flatiron Institute research centers, and participate in the life of the Center for Computational Biology, and Mathematics, the Flatiron Institute by attending seminars, colloquia, group meetings and other opportunities for scientific exchange.

    FRF positions are generally two-year appointments and can be renewed for a third year, contingent on performance. FRFs receive a research budget and have access to the Flatiron Institute's powerful scientific computing resources. FRFs may be eligible for subsidized housing within walking distance of the Flatiron Institute.

    REQUIREMENTS

    Education:
    • Applicants are required to have a Ph.D. in biochemistry, biophysics, physics, applied mathematics, computational biology, computer science, or related disciplines or, if selected, will receive their PhD before the start of the FRF appointment.
    Related skills and other requirements:
    • Exceptional abilities in molecular simulation and analysis, statistical mechanics, and/or relevant methods in computational biology
    • Ability to do original and outstanding research in computational biology
    • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
    • Strong oral and written communication, data documentation, and presentation skills
    • Excellent collaborative and interpersonal skills required

    LOCATION

    These positions will be based in our New York City offices.

    HOW TO APPLY

    Required application materials:
    • Cover letter (optional)
    • Curriculum vitae with bibliography
    • Research statement of no more than three (3) pages describing the applicant's past work and potential synergies with activities at Structural and Molecular Biophysics and the Flatiron Institute as a whole.
    • Two (2) letters of recommendation submitted confidentially by the recommenders directly to ccbjobs[at]flatironinstitute.org
    Apply here: https://www.click2apply.net/LYyyQpS5wlj8SGoZsnQWj

    DEADLINE

    Feb. 02, 2022

    POLICY

    The Simons Foundation's Diversity Commitment:
    Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.

    PI160561525

    BACKGROUND

    The Simons Foundation Autism Research Initiative (SFARI) is a scientific initiative within theSimons Foundation's suite of programs whose mission is to improve the understanding, diagnosis and treatment of autism spectrum disorders by funding innovative research of the greatest quality and relevance.

    The Informatics team supports SFARI with their data projects. The Informatics team currently seeks a Research Data Analyst to support development and maintenance of SFARIGene database, perform database queries, prepare analysis and summary reports, and regularly prepare autism-related data sets for distribution. The role will collaborate and work closely with other data analysts, software engineers, scientists, project managers and coordinators. This Research Data Analyst will make a direct and lasting impact on autism research by facilitating access to data from several large, ongoing autism research studies within SFARI.

    RESPONSIBILITIES

    • Perform database queries, construct data sets and prepare analysis reports.
    • Prepare and maintain documentation.
    • Perform database quality assessments.
    • Perform analysis of, and document, business requirements.
    • Assist with application testing and training.
    • Perform any other duties or tasks as assigned or required.

    REQUIREMENTS

    Education:
    • Master's degree in the sciences, mathematics or related field
    Experience, Related Skills & Other Requirements:
    • At least 1 year of experience in a research setting
    • At least 3 years' experience with SQL
    • Experience with managing and responding to multiple concurrent requests and prioritizing requests accordingly
    • Ability to be efficient with time and resources and meet deadlines
    • Demonstration of consistent accuracy and careful attention to detail
    • Excellent interpersonal, verbal and written communication skills
    Desirable Experience:
    • Experience with database design, management and administration
    • Experience with computer scripting and programming (e.g., Linux terminal shell, Python, Perl, C, and Java)
    • Experience with human-subjects research and understanding of HIPAA
    • Experience with ticketing systems
    • Experience with statistical-analysis approaches
    • Experience with statistical software in R/Python
    • Experience with bibliometrics analysis and text mining

    HOW TO APPLY

    Apply Here: https://www.click2apply.net/1wdLm1Ub4V1KigOzIlLaA

    POLICY

    The Simons Foundation's Diversity Commitment:
    Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law.

    PI160554266

    BACKGROUND

    UNT System Overview:
    Welcome to the University of North Texas System, or UNT World as we like to call ourselves. UNT World includes the University of North Texas in Denton, the University of North Texas at Dallas and the University of North Texas Health Science Center in Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region and we are committed to transforming lives and creating economic opportunity through education. We are growing with the DFW region, enrolling a record 47,000+ students across our system and awarding nearly 12,000 degrees each year.

    Department Summary:
    The Division of Research and Innovation at the University of North Texas (UNT), a Carnegie Tier One research institution, is creating a core capacity in computational services to support the goals of faculty researchers across the UNT campus. It is anticipated that this core computational service facility will address needs for data analytics in multiple disciplines across the UNT campus including bioinformatics, chemistry, health sciences, and social sciences. UNT is a student-focused research university with an emphasis on sustainability. UNT is the nation's 25th largest public university, and is committed to serve its 47,000 students while powering the North Texas region through innovative education and research.

    Recently UNT signed a five-year renewable agreement with Texas Advanced Computing Center (TACC) at the University of Texas at Austin (UT-Austin) to utilize the computing facilities at TACC. Through this agreement, UNT will purchase over 400,000 compute node-hours per year within the Lonestar6 system. In addition, UNT faculty and students will have access to TACC's high-performance computing systems under the same conditions as any UT at Austin faculty and students, respectively. The new Computational Informatics Center Core Facility will function complementary to UNT's Research Computing Services model.

    RESPONSIBILITIES

    Position Summary:
    The University of North Texas is seeking a Founding Director for the newly created Computational Informatics Center Core Facility. The successful candidate will oversee the operation and development of the facility in conjunction with the Office of the Vice President for Research and Innovation VPRI). The director will consult with Principal Investigators to meet their complex computational needs and provide advanced informatics analyses. The director will also interact within a larger, university-supported computing team and will supervise staff and research assistant students to provide expertise to various labs across campus. The director brings together elements of computational/bioinformatics expertise to promote exchange of data, integrate pipelines, and to analyze and integrate multiple data types including but not limited to transcriptomics, metabolomics and proteomics. Contributions to structural modeling, molecular dynamics and imaging analysis are also anticipated.

    Primary Responsibilities:
    • Promotes and enables state-of-the-art informatics analyses
    • Works closely with the other core facilities managers and the VPRI to address data analytics needs
    • Implements the addition of new services and tools to the core based on PI needs
    • Assists PIs to analyze and interpret multiple data types, generating insights and testable hypotheses, and respective reports for research projects, grants and manuscripts
    • Provides guidance in data analysis, data integration and data visualization
    • Assists in data mining and computational analysis of large public databases for PI projects
    • Manages core staff, including distributing workload, overseeing quality and completion of core projects with appropriate chargebacks and assures that staff education and training needs are met
    • Manages the core budget, including usage documentation and chargeback billing
    • Oversees maintenance of informative web sites and other investigator outreach materials

    REQUIREMENTS

    A successful candidate will possess the following qualifications:
    • Demonstrate strong communication and interpersonal skills
    • Ability to lead and/or support small groups
    • Possess strong attention to detail
    • Demonstrate strong analytical, time management and organizational skills
    • Ability to support a wide variety of research projects with sometimes competing needs and deadlines
    • Strong computational and computer programming skills, and excellent problem-solving skills
    • Proficiency in bioinformatics analyses
    • Experience in data visualization techniques
    • Experience in high performance computing and big data analytics
    • Proficiency in statistics and probability concepts
    Minimum Qualifications:
    • Ph.D. degree in bioinformatics, computational biology, computer science or related field
    • Five years' directly related experience is required, or an equivalent combination of education, training and/or experience from which comparable knowledge, skills and abilities have been attained.
    • Experience in a highly collaborative environment such as a core facility and/or a record of published collaborative research with multiple groups and data types is highly desirable.
    Physical Requirements: Ability to communicate
    Security Sensitive: This is a security sensitive position
    Driving University Vehicle: No

    TERMS

    Full Time/Part Time: Full-Time

    LOCATION

    Job Location: Denton, TX
    Department: UNT-Computational Informatics Ctr-190409
    College/School: Division of Research and Innovation

    HOW TO APPLY

    Quicklink for Posting: https://jobs.untsystem.edu/postings/51752

    Special Instructions to Applicants:
    For more information on the position, please contact Associate Vice President for Research & Innovation, Aaron Roberts at Aaron.Roberts[at]unt.edu or Director of Research Computing Services, Julian Quintero at Julian.Quintero[at]unt.edu

    Documents Needed to Apply:
    1. Cover Letter
    2. Curriculum Vitae

    Posting Number: F609P

    POLICY

    EEO Statement:
    The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.

    SUMMARY

    ASRT, Inc. provides scientific, information management, management consulting, bioinformatics, and administrative program support to the Centers for Disease Control and Prevention (CDC) and other Federal and private sector clients. The successful candidate will be a full-time employee of ASRT, Inc. and will be assigned to the Office of Advanced Molecular Detection (OAMD), National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), at the CDC, 1600 Clifton Road, Atlanta, GA, to provide scientific and technical support for the OAMD.

    RESPONSIBILITIES

    Scope of Work:
    The Bioinformatician will provide scientific and technical support to the Office of Advance Molecular Detection in support of the mission and goals of OAMD.

    Major Duties and Responsibilities:
    • Monitor the technical status and progress of work, checking on work in progress and reviewing completed work. This may include monitoring vendor and collaborator performance based on data reported on key project measures using qualitative and quantitative measures. Maintain records that provide for the proper evaluation, control and documentation of assigned activities; prepare a variety of written correspondence, reports and other materials as appropriate. Summarize project data for program's use (this could include creation of short briefs, presentations, dashboards, reports, charts, etc.).
    • Support cloud implementation by working with the cloud implementation team to establish requirements and to assist with technical review of implementation and verification of work performed.
    • Provide bioinformatics support by reviewing reports and developing standards for analysis.
    • Review outputs from bioinformatics analysis pipelines to verify pipelines perform as expected.
    • Work with CDC Scientific Computing Team to establish requirements, verify implementation, schedule meetings, keep up with documentation to support the team.
    • Assist in defining and developing statements of work for IT contracts related to cloud implementation.
    • Perform market research related to cloud implementation.
    • Provide technical documentation in relation to cloud implementation.
    • Coordinate and maintain contacts and relations with as well as facilitate meetings and sessions between OAMD partners, interested external groups and collaborating organizations Partners for knowledge-sharing, project development and improvement.
    • Draft and present summaries of findings to internal and external stakeholders.
    • Confer with and represent the assigned program and division in meetings with offices within CDC, grantees, and external partners to foster collaborative working relationships to the benefit of the program.

    REQUIREMENTS

    Education and Experience:
    • Master's degree in information technology, bioinformatics, allied health, health science, or life sciences
    • At least 3 years work experience in health informatics
    • At least 2 years work experience in cloud implementation
    • At least 2 years technical project management experience
    Required:
    • Strong quantitative skills, including proficiency in R; relational database management systems; and standard Microsoft Office applications including Word, Excel, and PowerPoint.
    • Communication skills, including experience developing communication tools such as scientific manuscripts, presentations, and posters.
    • Excellent skills for preparing written documents and giving oral presentations.
    • Excellent time management and organizational skills and the ability to comfortably multi-task.
    • At least 1-2 years of prior experience in applying machine learning algorithms in the area of large-scale genomic problems, bacterial or human
    • Strong demonstrable experience in programming languages and software packages; able to develop novel bioinformatics pipeline, distributable packages and modules
    • Ability to configure and maintain a Unix/Linux bioinformatics computing environment
    Desirable:
    • Experience working with a diverse interdisciplinary team.
    Language Skills:
    • The candidate must possess excellent oral and written communication skills in English.
    Must be a United States citizen or permanent resident or have authorization for employment in the United States.

    TERMS

    Anticipated start date: Two weeks after candidate identification

    LOCATION

    Position location: Atlanta, GA, USA
    Travel: As required to fulfill the responsibilities of the position

    COMPENSATION

    Salary: Commensurate with qualifications and experience.

    HOW TO APPLY

    If you are viewing this position on a site other than the ASRT Career Center, you may apply using this link https://asrtinc.applicantpool.com/jobs/641552.html

    To view all of our open positions and to apply to job openings in which you may be interested, please visit our Career Center at https://asrtinc.applicantpool.com/jobs/.

    POLICY

    ASRT, INC. IS AN EQUAL OPPORTUNITY AND AFFIRMATIVE ACTION EMPLOYER. It is the policy of ASRT, Inc. to provide equal employment opportunities without regard to race, color, religion, citizenship, age, sex, sexual orientation, gender identity, national origin, ancestry, genetic information, veteran or disability status, or any other characteristic protected by applicable federal, state or local law, and to take affirmative action in accordance with applicable laws and Executive Orders.
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