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    BACKGROUND

    The Lee Kong Chian School of Medicine (LKCMedicine) invites applicants with an international reputation in the field of computational biology, bioinformatics and/or systems biology to apply for an appointment at Assistant Professor level with a concurrent appointment as Director of the LKCMedicine Centre for Biomedical Informatics. The successful applicant will be based full-time in Singapore. This is an exciting opportunity to contribute to the development of research and teaching in an innovative and vibrant new medical school.

    LKCMedicine is a partnership between two of the world's premier institutions of higher education and research, Imperial College London and Nanyang Technological University (NTU), Singapore. The School offers a five-year MBBS degree jointly awarded by both institutions. The School graduated its first cohort of medical students in 2018 and has built up its research faculty and infrastructure to become a world-leading research institution.

    RESPONSIBILITIES

    Reporting to the Dean and Vice Dean, Research, the appointee is expected to undertake research in biomedical informatics/computational biology in line with the research strategy of the School and in conjunction with other recent appointments, to obtain research funding and to supervise research staff and students. The appointee will contribute to teaching and other educational activities for the training of medical students and postgraduate research students. As Director of the LKCMedicine Centre for Biomedical Informatics, the appointee will play a key leadership role in providing support for the analysis of the large-scale datasets that are being generated within LKCMedicine and NTU via facilities such as the Singapore Phenome Centre, the Cognitive Neuroimaging Centre and the Health for Life in Singapore study (HELIOS) as well as with external collaborators in line with the overarching research strategy of LKCMedicine.

    REQUIREMENTS

    Person Specification:
    • PhD and/or MBBS/MD degree(s)
    • Relevant postdoctoral experience and demonstrable innovative research record
    • Significant experience and outstanding, proven track record in building up infrastructure, core facilities and directives necessary to support research groups with Biomedical Informatics
    • Ability to supervise junior research staff
    • Proven track record of strong leadership
    • Good communication skills and an appreciation for constructive teamwork
    • Willing to participate in postgraduate and undergraduate education and training

    HOW TO APPLY

    Interested applicants are invited to apply to Associate Professor Andrew Tan, Vice-Dean, Faculty Affairs, for the above position with a detailed resume at the link below:
    ntu.wd3.myworkdayjobs.com/Care[...]05051

    Only shortlisted candidates will be notified.

    BACKGROUND

    PhD student positions now available for Fall 2020 researching Computational Cancer Biology at UMass Lowell. This research sits at the crossroads of computational biology, data science, and epidemiology, and there are a number of possible projects rdmelamed.github.io/#projects. Your ideas for other projects are welcome!

    Students who want to work in cancer research, and who are interested in learning and applying data science methods should contact me to join. Our work is 100% computational, using data sets generated by other people. So, students should be excited to learn to visualize and model data sets using tools like R and Python, and packages like tensorflow/pytorch and Stan.

    LOCALE

    Lowell, Massachusetts, USA

    COMPENSATION

    These positions are fully funded with a mix of TAship and research funds.

    HOW TO APPLY

    Please see more at rdmelamed.github.io/join/ and send:
    • Your resume
    • An unofficial transcript (or, relevant course background can be summarized in the resume)
    • A cover letter describing why you are interested in the lab, how your background is related to this research, and what kind of projects you would like to work on. The cover letter is mandatory and applications that do not have a cover letter specific to this position cannot be reviewed.

    DEADLINE

    Rolling

    DESCRIPTION

    Lawrence Berkeley National Lab's (LBNL, www.lbl.gov) Joint Genome Institute (JGI, jgi.doe.gov) Division as part of the Microbiome Data Science group has an opening for a Biologist Project Scientist to join the team. The expected workload is ~100% computational.

    In this exciting role, you will perform analyses and develop new computational genomics tools to support JGI Users, with a strong emphasis on the development of automated workflows to identify and analyze novel viruses from metagenomes and metatranscriptomes. This workflow will aim to provide users with advanced computational tools in identifying the viral component of microbiome datasets and should include (i) identification of viral genomes from metagenomes, (ii) viral genome clustering, (iii) connecting viruses to host genomes, and (iv) implement existing and/or establish new methods for taxonomic assignment of viral genomes. Additional tasks will include Research & Development activities such as benchmarking and troubleshooting publicly available tools, as well as the development of new quality metrics and standardized computational approaches. You will be comfortable working with very large datasets in an interdisciplinary scientific group. You will be expected to exercise independent judgment in determining methods and approaches to solving complex issues across various technologies and must be familiar with databases and different types of sequence data.

    What You Will Do:
    • Work independently and as part of a team to develop computational workflows for viral genomics including viral genome identification, clustering, and host prediction.
    • Perform large scale analysis of viral sequence data: build models for the detection of viruses, develop methods to the group and classify viral sequences, analyze metagenomics sequences, and perform comparative genome analyses.
    • Develop computational tools in the context of the Integrated Microbial Genome (IMG) data management and analysis system.
    • Work in close collaboration with JGI's microbial genome and metagenome program scientists.
    • Perform custom analysis of viral genomes from metagenomics and metatranscriptomics data.
    • Generate detailed reports and data packages with extensive documentation.
    • Identify steps in analysis pipelines that could be automated and design possible frameworks/pipelines.
    • Troubleshoot existing computational processes and optimize Standard Operating Procedures (SOP).
    • Analyze results and provide feedback on potential flaws/improvements.
    • Summarize research results and publish in peer-reviewed journals; contribute to scientific research papers and reports.
    Additional Responsibilities as Needed:
    • Attend group meetings and present status reports and scientific findings.
    • Keep an accurate and detailed laboratory notebook and tracking spreadsheets.

    REQUIREMENTS

    What is Required:
    • A minimum of 2 years of relevant experience beyond the highest customary degree in Biology, Microbiology, Bioinformatics, or related field.
    • Experience in methods and tools for next-generation sequencing, metagenome assembly and binning.
    • Experience in large-scale analysis of microbial genomes and metagenomes with a proven track record in this area reflected in recent or pending publications.
    • Experience with common sequence analysis tools including genome assembly, genome binning, sequence clustering, phylogenetics, and remote homology searches such as HMMER and HHSearch.
    • Experience in a scripting language (Perl, Python).
    • Experience with source control revision management and object-oriented design.
    • Experience with current approaches used for viral detection and analysis, e.g., VirSorter, VirFinder, vContact2, VOGdb, IMG/VR.
    • Substantial knowledge and understanding of bioinformatics tools for sequence similarity search, multiple sequence alignment, profile search, clustering, and phylogenetic analysis.
    • Demonstrated ability to conduct and perform collaborative research and effectively interact with a broad range of colleagues with tact and diplomacy.
    • Demonstrated ability to independently carry out creative research with a proven record of publications and achievement.
    • Excellent problem-solving and decision-making skills with the ability to troubleshoot experimental processes and provide analysis.
    • Efficient organizational and record-keeping skills with the ability to organize and present analysis reports to JGI Users and staff.
    • Effective interpersonal skills with experience establishing effective collaborations and interacting with members of the scientific, instrumentation and informatics communities.
    • Excellent written communication skills with demonstrated experience preparing research publications.
    Desired Qualifications:
    • Ph.D. in Biology, Microbiology, Bioinformatics, or related field.
    • Experience with the IMG & IMG/VR system.
    • Experience in viral genomics and host-viral interaction.
    • Knowledge of Unix tools, relational databases, and R.
    • Experience with paired metatranscriptomic/metagenomic analyses.
    • Experience with large-scale data analysis (e.g., integrated analysis of > 50 datasets).

    TERMS

    • This is a full time, 1 year, term appointment that may be renewed to a maximum of five years.
    • 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.
    • Diversity, equity, and inclusion are core values at Berkeley Lab. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our faculty positions will demonstrate evidence of a commitment to advancing equity and inclusion.

    LOCALE

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

    HOW TO APPLY

    Apply directly online at 50.73.55.13/coun[...]91951 and follow the on-line instructions to complete the application process.

    Organization: JG-Joint Genome Institute

    POLICY

    Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (www.dol.gov/agen[...]sters) to view the poster and supplement: "Equal Employment Opportunity is the Law."

    Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.

    BACKGROUND

    Do you want to develop cutting edge technology to support cutting edge science?

    Do you have experience working with large research data sets of different omics types with an engineering, architecture and design approach? Are you at the same time looking for an opportunity to break new ground at the forefront of what is possible? If so, this is the job you have been waiting for. At DTU Biosustain in Lyngby, Greater Copenhagen you will unfold your skills as enabler for approx. 300 world-class scientists in Copenhagen and San Diego. Your personal efforts will enable and accelerate our work towards development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc.

    RESPONSIBILITIES

    Expand and operate infrastructure to support high-throughput and complex data:
    As Technical Leader for data and knowledge engineering your focus is to expand and operate a next generation informatics infrastructure that enables efficient management of big data sets, big data analytics, computational modeling and knowledge management. More specifically, you will expand and manage a cutting-edge data infrastructure consisting of data lake, data warehouse and institutional knowledge graph linking internal data with universal knowledge. A lot of your work will be related to our cutting edge, integrated informatics platform Lifelike.

    We have already come a long way but we need you to drive our next leap forward by applying your engineering perspective while working hands-on with architecture, design and implementation. Your primary tasks will be to:
    • Expand the Center's data management capabilities to support high-throughput data generation, enabling efficient big data collection, processing and analysis, as well as exchange of data between institutes.
    • Coordinate technical work activities between a small team involved in data architecture, data engineering, and computational method development.
    • Ensure adequate data capacity planning and monitoring, database administration and backup.
    • Manage a hybrid infrastructure consisting of multi-cloud and on-premise.
    • Manage a database environment consisting of multiple database types.
    • Implement data processing and analysis pipelines integrating multiple databases.
    • Deploy and optimize big data analytics methods that are being developed by data scientists.
    • Participate in the research and implementation of knowledge engineering approaches utilizing knowledge graphs, enabling the combination of graph analysis with AI to support explanatory AI systems.

    REQUIREMENTS

    To succeed, you must collaborate and communicate effectively with PhD level scientists. This calls for your ability to and motivation for understanding the highly complex and scientific data sets that your infrastructure shall handle. As you will be working with colleagues and partners in different locations, you must be able to handle some calls and remote meetings outside normal office hours.

    Solid experience working with large scale data platform components:
    As you will be part of a support unit that works as enabler for numerous scientists across DTU's many teams and locations, you must like to create results via knowledge sharing and constructive collaboration – with due respect to professional and cultural differences. This calls for an open-minded approach as well as your ability to tailor your communication to your audience. You are known for your analytical way of working and your positive belief in that there always is solution to a problem at hand. Related to this, you can establish KPIs, project plans and deliver as promised within agreed deadlines.

    Additionally, your CV comprises:
    • A university degree in Engineering or similar
    • Solid experience with designing, building, maintaining, and up scaling large scale data management platforms
    • Technical leadership experience
    • Experience in data modeling to meet large scale requirements
    • Background or experience in Biotech, Computational Biology or Bioinformatics
    • Experience managing large research data sets of different omics types (genomics, transcriptomics, proteomics, metabolomics, etc.)
    • Experience with machine learning, knowledge graphs/graph databases, or computational modeling is a big plus.

    TERMS & COMPENSATION

    The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

    HOW TO APPLY

    We must receive your online application no later than 22 January 2021.

    Apply at www.career.dtu.dk.

    Applications must be submitted in English as one PDF file containing all materials to be given consideration including CV, cover letter, diploma and if relevant list of publications.

    If you have any questions, you are very welcome to contact Chief Information Officer, Evelyn Travnik, at etravnik[at]biosustain.dtu.dk.

    All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

    ABOUT US

    The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) is an interdisciplinary research centre that develops new knowledge and technology to support the production of bio-chemicals using microbial production with 300 employees. The center is organised with a number of Scientific Sections and Research Groups. In the Sections, researchers do basic research to determine the spectrum of chemistry that can be produced biologically. Groups have an applied / translational approach focusing on shortening the strain design and development process. Learn more at biosustain.dtu.dk.

    About Lifelike:
    Lifelike is an integrated informatics platform that will allow us to derive deep insights from big data to address some of our world's greatest challenges. Lifelike incorporates artificial intelligence, mechanistic modeling and knowledge graphs. A human and machine-readable format allows researchers and computers to work together in solving complex problems. With the integration of universal knowledge, researchers can ask questions, generate new hypotheses, contextualize experimental data and close knowledge gaps.

    Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods.

    Learn more at biosustain.dtu.dk.

    Technology for people:
    DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.

    BACKGROUND

    The Division of Biological Sciences at the University of California, San Diego (www.biology.ucsd.edu) invites applications from outstanding candidates for a tenure-track teaching faculty position at the Assistant level. All candidates must be committed to excellence in undergraduate education and demonstrate a commitment to equity and inclusion in higher education. We are especially interested in candidates who have created or contributed to programs that aim to increase access and success of underrepresented students in the sciences, and/or have detailed plans to accomplish such goals.

    The Division of Biological Sciences at UC San Diego is a vibrant center of scientific discovery, innovation, education, and collaboration. Our large research base spans many areas of biology and has one of the most celebrated graduate programs in the country. We are committed to academic excellence and diversity within the faculty, staff, and student body.

    RESPONSIBILITIES

    The incumbent's primary responsibility will be to expand our undergraduate course offerings in one of two general areas: 1) bioinformatics, computational biology, biological data science, or quantitative biology or 2) lower and upper division laboratory courses. While candidates with research backgrounds in any subfield of biology will be considered, we are particularly interested in candidates with significant experience in bioinformatics, biostatistics, computational biology, laboratory instruction, and/or fostering equity and inclusion and student success in undergraduate science education programs. In addition to teaching and service, the incumbent will also advance science education at UCSD and beyond through professional activities such as conducting and disseminating pedagogical research in science teaching methodologies.

    REQUIREMENTS

    All candidates must have earned a Ph.D. or equivalent degree in Biology or a related field (at the time of application) which should be documented and explained in the application. In addition, the successful candidate is expected to have:
    • College-level teaching experience, with demonstrated success teaching undergraduates. Candidates should demonstrate knowledge of and experience employing instructional strategies tied to contemporary research on the science of learning (i.e., evidence-based teaching)
    • Knowledge of and/or experience in professional activities that advance science education beyond a single institution, such as development of a research program investigating the science of learning and teaching related to the applicant's area of expertise
    • A commitment to equity and inclusion in higher education. Demonstrated ability to address the educational and academic needs of a diverse student population, including developing effective teaching strategies for the educational advancement of students from groups who are underrepresented in higher education
    • Potential to serve as an effective leader in the educational program of the Division of Biological Sciences
    Further details about the required application material can be found at: biology.ucsd.edu/jobs[...].html

    TERMS

    Tenure-track position

    LOCALE

    La Jolla, CA

    COMPENSATION

    Salary is commensurate with qualifications and based on University of California pay scales.

    HOW TO APPLY

    Applications must be submitted to the UCSD online application collection system, AP-On-Line Recruit, at: apol-recruit.ucsd.edu/JPF02623

    DEADLINE

    Feb. 28, 2021

    POLICY

    UCSD is an Affirmative Action/Equal Opportunity Employer with a strong institutional commitment to excellence through diversity (diversity.ucsd.edu). All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, sexual orientation, national origin, disability, age or protected veteran status.

    BACKGROUND

    Are you a highly motivated researcher with an interest in computational approaches to strain design and experience in microbial molecular biology, and would like to join our international research center, The Novo Nordisk Foundation for Biosustainability (DTU Biosustain) at the Technical University of Denmark?

    Then we may have an interesting opportunity: We are looking for two colleagues in the newly established Strain Design Unit, headed by DTU Biosustain CEO Prof. Bernhard Palsson. This central unit is building cell factories for the various application areas of the Center.

    In the Strain Design Unit, we are developing microbial strains for a host of applications, including small molecule production, bioactive compound production, and microbial foods through a combination of experimental and computational design approaches.

    RESPONSIBILITIES AND TASKS

    As computational strain designer, you will build computational workflows for modeling and for omics data analysis for target strain designs. The position requires that you work closely together with DTU-Biosustain's Principle Investigators and design teams to coordinate schedules and goals for design projects.

    Specific tasks include:
    • Utilization of computational tools for the design of microbial strains for various applications.
    • Computational modeling of metabolism to predict strain phenotype and generate strain designs with desired behavior.
    • Statistical analysis of internal and public -omics datasets (e.g. genomics, transcriptomics, proteomics, metabolomics) to evaluate strain performance.
    • Analysis of genome sequence variations in terms of genetic context as well as protein structural annotation.
    • Participation in a team environment as part of a large academic organization developing computational tools and workflows for strain design.
    • Contribution to development and implementation of computational methods and tools described above.
    • Organization of (bi-)weekly project updates to lab management.

    REQUIREMENTS

    • PhD in bioinformatics, bioengineering or equivalent
    • 2-5 years of experience working or managing in a research organization
    • Familiarity with methods for computational modeling of metabolism, including constraint-based and kinetic modeling
    • Familiarity with machine learning methods, such as elastic net regression, support vector machines, and random forests
    • Familiarity with matrix decomposition techniques, such as Principal Component Analysis and Independent Component Analysis
    • Intermediate Python/Pandas skills. Experience interfacing databases and R scripting will be an advantage but not required.
    • Demonstrated ability to contribute research and technical content to grant proposals
    • Ability to communicate technical information to internal/external audiences at various levels (undergraduates to senior scientists) and from various backgrounds (technical and non-technical personnel)
    • Ability to work independently and as part of a team
    • Ability to successfully work on multiple concurrent projects and meet deadlines

    TERMS & COMPENSATION

    We offer:
    At DTU Biosustain we develop the next generation of sustainable biotechnologies using synthetic biology techniques. We create novel production methods and technologies as a foundation for the development of new environmentally friendly products, more energy efficient manufacturing processes, new medical treatments, climate friendly farming, etc.

    DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

    Salary and terms of employment:
    • The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
    • The period of employment is 3 years. Workplace is DTU's main campus in Kgs. Lyngby, Denmark.

    HOW TO APPLY

    Please submit your online application no later than 8 March 2021 (Danish time). Apply at www.career.dtu.dk

    Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
    • Application (cover letter)
    • CV
    • Diploma (MSc/PhD)
    • List of publications
    Applications and enclosures received after the deadline will not be considered.

    Further information:
    If you would like additional information about the position, please contact Professor Bernhard Palsson, palsson[at]eng.ucsd.edu or Professor Lars Keld Nielsen, lars.nielsen[at]uq.edu.au (for questions related to science, research and technologies), or Bo Skjold Larsen, bsl[at]biosustain.dtu.dk (for questions related to terms of employment).

    You can read more about DTU Biosustain at www.biosustain.dtu.dk.

    ABOUT US

    The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain):
    Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods.

    Technology for people:
    DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.

    POLICY

    All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

    BACKGROUND

    Lawrence Berkeley National Lab's (LBNL, www.lbl.gov) Joint Genome Institute (JGI, jgi.doe.gov) Division has an opening for a Research Associate to join the team. The Research Associate will provide research and production support for liquid chromatography mass spectrometry (LC-MS) instrument operation and sample preparation for metabolomics tasks within a high-throughput sample environment in support of DOE mission areas in clean energy generation, climate, and environmental sciences.

    RESPONSIBILITIES

    This position will support a twelve-month project starting in 2021 with JGI metabolomics workflows that require basic analytical chemistry and biochemistry knowledge and skills. The Research Associate will be responsible for understanding the latest mass spectrometry technologies, support new technology development, and implement new protocols for the JGI Metabolomics Platform. The Research Associate will also troubleshoot process failures and participate in optimization of protocols with emphasis placed on meeting metabolomics production metrics goals.

    What You Will Do:
    • Perform standard procedures using ESI mass spectrometers (Thermo QExactive and ID-X), automated liquid handling systems, UHPLC, lyophilizer, SpeedVac, centrifuge, and water bath sonicator.
    • Perform mass spectrometry data analysis workflows.
    • Prepare sets of metabolite standard solutions for LC-MS method development.
    • Perform and troubleshoot sample extractions using robotic automation equipment and manual methods following standardized operating procedures involving the safe handling of multiple types of solvents and work with a wide range of samples types. (soils, fungi, microbes, environmental water, etc.)
    • Participate in group and team meetings.
    • Routinely perform basic lab support duties, including equipment maintenance, purchase of consumables, lab and freezer organization, requisitioning of waste, etc.
    • Maintain a detailed lab notebook as well as instrumentation and sample logs.
    • Follow EH&S guidelines to ensure the safety of one's self and others in the lab and office spaces.

    REQUIREMENTS

    What is Required:
    • B.S. degree in biology, microbiology, biochemistry, analytical chemistry, engineering, or a related field preferred and up to a few years related experience.
    • Previous experience working in a laboratory environment and performing experiments.
    • Proficiency with basic office software. (Google docs, Excel, etc.)
    • Detail-oriented with excellent communication and writing skills.
    • Excellent troubleshooting skills.
    • Demonstrated ability to perform routine data analysis workflows.
    • Hard-working, self-motivated, proactive individual, with critical thinking and independent working skills, as well as ability to work with others in a collaborative research environment and with rapidly developing goals and timelines.
    Desired Qualifications:
    • Experience performing sample extractions for mass spectrometry and automated liquid extraction procedures.
    • Experience with sample analysis of small metabolites by mass spectrometry. (ex. amino acids, sugars, organic acids)
    • Familiarity or hands-on experience with Thermo Orbitraps (or other mass spectrometers), Hamilton Vantage liquid handlers and Agilent 1290 UHPLC instruments.
    • Experience running (and modifying or writing) code written in scientific programming languages. (ex. Python, MATLAB, R)

    TERMS

    • This is a full time, 1-year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
    • This position is represented by a union for collective bargaining purposes.
    • 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.

    LOCALE

    • Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

    COMPENSATION

    • Salary will be determined based on range by collective bargaining agreement.

    HOW TO APPLY

    Apply directly online at 50.73.55.13/coun[...]91693 and follow the on-line instructions to complete the application process.

    Organization: JG-Joint Genome Institute

    DEADLINE

    For full consideration, please apply by January 19, 2021.

    ABOUT US

    JGI & Berkeley Lab: A View to Fuel Innovative Science in the Public Interest
    They say it's all about location and Berkeley Lab has it all: a view above the San Francisco Bay, cool breezes, and world-class multidisciplinary science within a diverse and respectful research ecosystem of 5,000 people. Nearly 90 years ago, Ernest Orlando Lawrence, the inventor of the cyclotron, brought physicists, biologists, engineers and mathematicians together in Berkeley above the University of California campus to tackle the most urgent scientific challenges. Today, after garnering 13 Nobel Prizes, Berkeley Lab has sustained and grown that tradition of open, interdisciplinary team science, exemplified by how the U.S. Department of Energy Joint Genome Institute (JGI) addresses the most pressing energy and environmental challenges using integrative genome science approaches. JGI takes up residence in the new, state-of-the-art Integrative Genomics Building (IGB) along with the U.S. Department of Energy Systems Biology Knowledgebase (KBase) to expand the frontiers of energy and environmental science in partnership with the worldwide community of researchers. Will you join us and be a critical part of our next ground-breaking discoveries?

    Berkeley Lab (LBNL, 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 (hr.lbl.gov).

    POLICY

    Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here (www.dol.gov/agen[...]sters) to view the poster and supplement: "Equal Employment Opportunity is the Law.

    Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.

    Submitter

    BACKGROUND

    St. Jude Children's Research Hospital has a unified mission to use cutting-edge research to discover the origins of disease, especially cancer, in order to facilitate advances in the treatment of disease that improve the lives of patients. The Blanchard Lab in the Department of Structural Biology at St. Jude is seeking a highly motivated and creative Bioinformatician to lead our genomics initiatives, using both existing and novel algorithms, to reveal insights into the role of translational control (using genomics and next-generation sequencing methods including RNA-Seq, ribosome profiling, Pro-Seq, etc.) in regulating physiological events related to cancer metastasis. Particular emphasis will be given to interrogating the role of non-coding RNAs from multi-copy gene families. The successful applicant will be an integral part of an interdisciplinary team of scientists, collaborating directly with team members to expertly solve challenges and empower them to make powerful quantitative insights.

    The ideal candidate will have the following:
    • Thorough knowledge of statistics, probability theory, machine learning algorithms, maximum likelihood optimization, Bayesian methods, and linear algebra.
    • Proficient with R and associated bioinformatics packages (e.g., Bioconductor), MATLAB, and shell scripting.
    • Ability to create compelling graphics, including interactive data visualization tools (e.g. R-Shiny, D3.js) and communicate research findings.
    • Experience with distributed computing bioinformatics workflows on Unix/Linux and cloud environments.
    • Thorough knowledge of software engineering and capability to produce robust, well-documented software with polished user interfaces.
    • Expert ability to distill complex information in a clear and concise manner both verbally and in writing.
    Relevant Publications:
    Implications of sequence variation on the evolution of rRNA.
    MM Parks, CM Kurylo, JE Batchelder, CT Vincent, SC Blanchard.
    Chromosome Research 27 (1-2), 89-93, 2019.

    Ribosome biogenesis during cell cycle arrest fuels EMT in development and disease.
    V Prakash, BB Carson, JM Feenstra, RA Dass, P Sekyrova, A Hoshino,..., SC Blanchard, CT Vincent.
    Nature communications 10 (1), 1-16, 2019.

    Variant ribosomal RNA alleles are conserved and exhibit tissue-specific expression.
    MM Parks, CM Kurylo, RA Dass, L Bojmar, D Lyden, CT Vincent, SC Blanchard.
    Science Advances 4 (2), eaao0665, 2018.

    Endogenous rRNA sequence variation can regulate stress response gene expression and phenotype.
    CM Kurylo, MM Parks, MF Juette, B Zinshteyn, RB Altman, JK Thibado, CT Vincent, SC Blanchard.
    Cell reports 25 (1), 236-248. e6, 2018.

    RESPONSIBILITIES

    • Perform analysis on clinically relevant biological problems using a variety of bioinformatics workflows, including both genomics and time-series data (hidden Markov modeling).
    • Uncover DNA sequence variation in high copy number genes utilizing both existing and novel algorithms for the analysis of RNA-Seq (Illumina) and next-generation DNA sequencing (NGS; e.g., PacBio) data.
    • Characterize genome-wide modulation of the transcriptome and translatome using RNA-Seq and ribosome profiling during cellular differentiation events related to cancer metastasis.
    • Uncover changes in the expression of gene isoforms with highly similar sequences (e.g., PacBio Iso-Seq; Illumina 10X).
    • Collaborate with biologists to provide expertise in the statistical analysis of a variety of data types.
    • Present results at group meetings and conferences.
    • Publish results in peer-reviewed journals.

    REQUIREMENTS

    • Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required.
    • Sr. Bioinformatics Research Scientist
      • Three (3) years of postdoctoral and/or job experience in Computational Biology or Bioinformatics research required with analytical experience in the following areas: sequencing data, microarrays, SNPs, proteomics data or biological pathways.
      • Experience with programming languages such as Perl, C, C++, SQL, PHP or Java required.
      • Experience in development of algorithms, statistical methods or scientific software is preferred.
    • Bioinformatics Research Scientist
      • Ph.D which must include research related to bioinformatics (such as analysis of sequence data, microarrays, SNPs, image data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software); OR If Ph.D with no bioinformatics research, then two (2) years of pre-or postdoctoral experience in Computational Biology or Bioinformatics research is required.
      • Experience with programming languages such as Perl, C, or Java required.

    LOCALE

    Memphis, TN

    HOW TO APPLY

    Please visit bs.serving-sys.com/Serv[...]24949

    Submitter

    BACKGROUND

    The Mefford Lab in the Center for Pediatric Neurological Disease Research uses genome-wide approaches to identify genetic, genomic and epigenetic causes of human disease including epilepsy, and related pediatric neurodevelopmental disorders. The major focus of our current work is to identify causes of pediatric epilepsy by employing state-of-the-art technologies including whole exome sequencing, targeted gene panel sequencing and custom array comparative genomic hybridization (aCGH). The Mefford lab has discovered numerous new epilepsy genes and copy number variants, including deletions of chromosomes 1q21, 15q13 and 17q12, each of which cause a range of clinical features.

    The Bioinformatics Research Scientist will take a prominent role in our research and collaborations to analyze multiple types of genomics data: exome and genome sequence, bulk RNA-seq, single cell/nuclei RNA-seq, methylation, SNP array, and others to identify variants associated with human genetic conditions and understand their underlying mechanisms. The ideal candidate will be capable of self-directed research within broader goals set by group, have previous experience with next-generation sequence data analysis highly desirable, knowledge of statistical/mathematical packages such as R.

    RESPONSIBILITIES

    • Perform analysis and visualization of next-generation sequencing data.
    • Evaluate and integrate community-developed bioinformatics tools.
    • Research, develop and evaluate novel high performance computational approaches for next-generation sequencing analysis.
    • Work under general supervision on a wide range of projects and may be asked to guide the work of peers, technicians, students and/or other support staff as necessary to achieve specific assignments.
    • Compile, organize and summarize data for other members of the laboratory. If desired, the employee may have the opportunity to take primary responsibility for sub-projects in their area of expertise.
    • Participate and present at group meetings.
    • Assist with presentations and manuscripts.

    REQUIREMENTS

    • Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required.
    • Ph.D which must include research related to bioinformatics (such as analysis of sequence data, microarrays, SNPs, image data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software); OR If Ph.D with no bioinformatics research, then two (2) years of pre-or postdoctoral experience in Computational Biology or Bioinformatics research is required.
    • Experience with programming languages such as Perl, C, or Java required.

    LOCALE

    Memphis, TN

    HOW TO APPLY

    Please visit bs.serving-sys.com/Serv[...]24948

    Submitter

    BACKGROUND

    A bioinformatics research scientist/analyst III position is available in the field of pharmacogenomics in the Savic laboratory. The primary research focus of the Savic laboratory involves studying the gene regulatory architecture of pediatric leukemia and genomic responses to antileukemic agents in order to define how the noncoding portion of the human genome impacts chemotherapeutic drug response, chemotherapeutic drug resistance and leukemia relapse. To address these critical questions, the Savic laboratory uses functional genomics (ChIP-seq, ATAC-seq, RNA-seq, Hi-C, etc.) to map cis-regulatory elements and noncoding sequence variants in primary leukemia cells from patients and further applies high-throughput approaches (STARR-seq, MPRA, CRISPR screening, etc.) to functionally characterize their impact on gene regulation and pharmacological phenotypes using both in vitro and ex vivo models. The long-term goal of the Savic laboratory is to gain a better understanding of the genetic underpinnings of chemotherapeutic drug resistance and relapse in pediatric leukemia.

    RESPONSIBILITIES

    The successful candidate will be responsible for analyzing and integrating orthogonal genomic datasets in order to infer the pharmacogenomic impact of cis-regulatory elements and noncoding sequence variants. To meet these tasks, the candidate will be responsible for implementing, building and managing analytical pipelines for collaborative projects within the laboratory and beyond the laboratory.

    REQUIREMENTS

    Minimum Education:
    • Bioinformatics Analyst III
      • Bachelor's degree is required.
      • Master's degree or PhD is preferred.
    • Bioinformatics Research Scientist
      • PhD in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required.
    Minimum Experience:
    • Bioinformatics Analyst III
      • Six (6) years of relevant experience is required.
      • Four (4) years of relevant experience may be acceptable with a Master's degree.
      • No experience may be acceptable with a PhD in Computer Science or Bioinformatics, with a background in the biological sciences.
      • Experience in programming (Python, Java, C/C++, perl or other programming/scripting languages) under linux/unix environment is required.
      • Experience with and the ability to deal with a wide range of users is required.
      • Experience of independent data analyses and project management is required.
      • End user support and training experience is required.
      • Experience with open source software development preferred.
      • Experience in development of algorithms, statistical methods or scientific software preferred.
      • Experience in next-generation sequence analysis or imaging analysis is preferred.
      • Experience in working with high-throughput data sets in a highly competitive environment is preferred.
      • Experience in working in a team project is preferred.
      • Cross training in biological sciences (e.g. genomics, genetics, transcriptomics and epigenetics) preferred.
      • Scripting experience using a statistics package such as R, S-Plus or SAS preferred.
      • Experience in personnel management preferred.
    • Bioinformatics Research Scientist
      • Ph.D which must include research related to bioinformatics (such as analysis of sequence data, microarrays, SNPs, image data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software); OR If Ph.D with no bioinformatics research, then two (2) years of pre-or postdoctoral experience in Computational Biology or Bioinformatics research is required.
      • Experience with programming languages such as Perl, C, or Java required.

    LOCALE

    Memphis, TN

    HOW TO APPLY

    Please visit bs.serving-sys.com/Serv[...]24950

    Submitter

    BACKGROUND

    We are seeking a talented, highly motivated Bioinformatics Research Scientist to lead our bioinformatics pipeline and develop innovative solutions for analyzing and visualizing omics data related to innate immune signaling projects. The candidate will work both collaboratively and independently on projects within the Kanneganti lab in the Department of Immunology. The candidate will lead cutting-edge computational analyses of omics datasets including proteomics, RNAseq, and microarray data, along with other needs as they are identified. The candidate will ensure the highly effective and accessible end results of these projects, as well as the scientific accuracy and robustness.

    Candidates with a strong background in transcriptomic and proteomic data analysis are highly encouraged to apply for this position. Successful candidates will have excellent critical thinking, problem-solving and data management skills and a keen attention to detail.

    St. Jude Children's Research Hospital offers a unique environment with clinical and basic science investigators working in close proximity and interacting regularly to translate scientific discoveries into improved therapies for children. If you are a highly motivated individual who wants to work at a world-class institution with state-of-the-art facilities and learn from investigators at the forefront of their fields, consider joining St. Jude.

    The laboratory of Dr. Thirumala-Devi Kanneganti is internationally renowned for its expertise in cellular signaling in the immune system. We are particularly interested in dissecting the signaling pathways involved in innate immunity and cell death, with a focus on NLRs and inflammasomes, and understanding how these pathways connect to adaptive immunity (T cells). Dr. Kanneganti's lab offers a fast-paced research environment focused on the innate immune system, including an opportunity to collaborate with researchers in the departments of Immunology, Infectious Diseases, Oncology, and beyond. Generous salary support and a benefits package are available. St. Jude Children's Research Hospital has state-of-the-art facilities including core laboratories for proteomics, microarray and RNA-seq analysis of gene expression, transgenic/knock-out technology, and animal facilities from biosafety level 2 to enhanced biosafety level 3.

    Please see the following publications:
    Cell (2020) 181(3):674-687.e13.
    Nature (2019) 573(7775):590-4.
    Nature Microbiology (2019) 4(2):316-27.
    Cell (2018) 173:1--14.
    Journal of Experimental Medicine (2018) 215(4):1023-34.
    Nature (2016) 540:583-7.
    Science Immunology (2016) 1(2):aag204-5.
    Cell (2015) 162(1):45-58.
    Nature Immunology (2015) 16(5):467-75.
    Immunity (2015) 42(4):654-64.
    Nature (2014) 516(7530):246-9.
    Nature (2013) 498(7453):224-7.

    REQUIREMENTS

    • Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required
    • Ph.D which must include research related to bioinformatics (such as analysis of sequence data, microarrays, SNPs, image data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software); OR If Ph.D with no bioinformatics research, then two (2) years of pre-or postdoctoral experience in Computational Biology or Bioinformatics research is required.
    • Experience with programming languages such as Perl, C, or Java required

    LOCALE

    Memphis, TN

    HOW TO APPLY

    Please visit bs.serving-sys.com/Serv[...]24947

    Submitter

    BACKGROUND

    The Geeleher Lab is seeking a Bioinformatics Research Scientist to work on exciting projects related to cancer genomics, pharmacogenomics, and drug repurposing in the St. Jude Department of Computational Biology. One of the premier pediatric research institutions in the world, St. Jude Children's Research Hospital provides exceptional resources, a collaborative environment, and access to extensive, unique cancer genomics datasets from large-scale research initiatives.

    In this role, you will have the opportunity to develop and apply innovative analytical and statistical approaches for studying genetic variation and its relationship to cancer development and chemotherapeutic response. You will also contribute ideas to develop and improve analyses and methods, work with postdoctoral fellows on cutting-edge research, participate in collaborative projects, assist in preparing manuscripts and grants, and assist with establishing protocols and pipelines. Depending on your interests and goals, you may also lead and publish your own projects.

    The Geeleher Lab is recognized for developing innovative computational approaches and has led drug re-purposing efforts, spearheaded publications in Nature, Genome Research, Genome Biology, Journal of the National Cancer Institute (JNCI) and Bioinformatics in the last five years, and is funded by the NIH. St. Jude offers an exceptional research environment, including state-of-the-art high-performance computing facilities, robust analytical pipelines, the latest wet-lab technology, access to outstanding core facilities and scientific expertise in genomics, cancer biology, statistics, and computer science. The Department of Computational Biology is highly interactive with collaborative opportunities across basic and clinical departments and mentorship from faculty-level scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects.

    REQUIREMENTS

    • Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required
    • Ph.D which must include research related to bioinformatics (such as analysis of sequence data, microarrays, SNPs, image data, proteomics data, or biological pathways; development of algorithms, statistical methods, or scientific software); OR If Ph.D with no bioinformatics research, then two (2) years of pre-or postdoctoral experience in Computational Biology or Bioinformatics research is required
    • Experience with programming languages such as Perl, C, or Java required

    LOCALE

    Memphis, TN

    HOW TO APPLY

    Please visit bs.serving-sys.com/Serv[...]24946

    Submitter

    BACKGROUND

    The Center for Precision Health (CPH) at the School of Biomedical Informatics (SBMI), the University of Texas Health Science Center at Houston (UTHealth) seeks an exceptional candidate for a non-tenure track position at the assistant professor level in the areas of precision medicine and bioinformatics.
    UTHealth is in the world-renowned Texas Medical Center (TMC), located in cosmopolitan Houston, Texas, the fourth largest city in the United States. CPH was established in January 2016, with the funds approved by the Texas Legislature to enhance biomedical and health informatics education and research in the State of Texas in the era of big data and precision medicine. A synergizing entity, CPH builds upon the core strengths of SBMI (i.e., informatics programs, centers and clinical resources) and School of Public Health (i.e., cohort-based research, statistical genomics, computational biology, environmental, behavioral and policy research programs) and develops both independent and collaborative research programs, as well as precision health resources, for UTHealth and other TMC institutions.

    RESPONSIBILITIES

    The successful candidate will be expected to plan, supervise, and direct research in bioinformatics, genetic and genomic medicine, single cell omics, deep learning, and related areas within the CPH. The candidate will provide technical expertise to lead in the development of study design, sample or data collection, pipeline development, data analysis, results interpretation, manuscript writing, and grant proposal preparation. Collaborative research with other faculty in the Center for Precision Health, at SBMI, and across UTHealth and the TMC (e.g., MD Anderson Cancer Center and Baylor College of Medicine, etc.) is also strongly encouraged. This position provides opportunities to supervise postdoctoral fellows and lead projects or team research initiatives, as well as develop grant applications.

    REQUIREMENTS

    The candidate should possess a doctoral degree in one of the following areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, bioengineering, medicine, biostatistics, or a related discipline. A record of published research in bioinformatics, genetics, or genomics is required; the potential to obtain extramural funding is strongly preferred. Excellent teamwork and communication skills are required.

    TERMS

    3 years or more

    LOCALE

    Houston, Texas, USA

    COMPENSATION

    Competitive and dependent upon qualifications and experience.

    HOW TO APPLY

    Note that all application materials must be submitted through UTHealth's online system at p.rfer.us/UTHqFE9g3. The job ID is 2100002C. As part of the application process, the candidate should provide a current curriculum vitae, a research statement, contact information for three references, and a cover letter describing qualifications and career goals.

    Please contact Dr. Zhongming Zhao (zhongming.zhao[at]uth.tmc.edu) for more details.

    Submitter

    BACKGROUND

    Postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML,www.uth.edu/bioinfo/), Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell omics, deep learning, and regulatory networks. Integrative genomics and deep learning approaches are often applied. Funding (multiple NIH grants, CPRIT, and lab/center startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (>330 papers since 2009) and has an excellent post-doctoral training track record (e.g. 23 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, two received CPRIT Scholar faculty recruitment, one NIH K99 awardee, one received NIH MIRA grant, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications appeared in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Cancer Discovery, Genome Research, Genome Biology, Genome Medicine, NAR, Oncogene, GigaScience, etc. (see scholar.google.com/cita[...]hl=en).

    The BSML lab is part of the new Center for Precision Health (CPH), a joint enterprise by the School of Biomedical Informatics and School of Public Health, The University of Texas Health Science at Houston. The center is established in UTHealth in response to the emerging need of precision health and artificial intelligence. The center focuses on precision cancer medicine, pharmacogenomics, deep learning, and translational bioinformatics. UTHealth is part of the world-renowned Texas Medical Center located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI is the first School of its kind and one of the largest biomedical informatics programs in the country.

    REQUIREMENTS

    The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, genetics, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, R, Java, or C/C++). Good understanding of genetics or molecular biology is a plus, but not required. For more information about our research, please visit the web site www.uth.edu/bioinfo/.

    TERMS

    3 years

    LOCALE

    Houston, Texas, USA

    COMPENSATION

    Salary and Benefits: Salary are commensurate with the NIH pay level, and can be higher with strong research experience. Promotion to other positions is available too. All postdocs are provided with the benefits according to the university standard (medical and dental insurance, retirement, etc.).

    HOW TO APPLY

    Applicants should send a CV, brief statement of research interests, and reference to:
    Zhongming Zhao (zhongming.zhao[at]uth.tmc.edu)
    Chair, Precision Health
    Professor and Director, Center for Precision Health
    University of Texas Health Science Center at Houston

    DEADLINE

    Open until positions are filled.

    DESCRIPTION

    Oregon State University (OSU), University of Oregon (UO), and Portland State University (PSU) are establishing an interdisciplinary cross-institutional team of data science analysts/trainers to conduct data integration, multi-modal data analytics, and machine learning research and training. There will be four analyst/trainers each with expertise in one or more of these three areas and collectively spanning all three areas; two at OSU, 1 at UO and 1 at PSU. These positions will collaborate with, assist, and train scientists of all levels in data analysis research.

    For full consideration, please apply to all three of the following positions:
    Oregon State University
    Job Posting Number: P04081UF
    Application Link: jobs.oregonstate.edu/postings/96571

    University of Oregon
    Job Posting Number: 525925
    Application Link: careers.uoregon.edu/cw/e[...]ceID=

    Portland State University
    Job Posting Number: D93323
    Application Link: jobs.hrc.pdx.edu/postings/33811

    The two positions at OSU will be located in the Center for Genome Research and Biocomputing at Oregon State University and one each in the Data Science Initiative at the University of Oregon and in the Center for Life in Extreme Environments at Portland State University.

    Appointees will jointly serve researchers at the three institutions, as well as smaller institutions across Oregon and southern Washington. They will nucleate and integrate a wider team of data analytics professionals to support each other, connect to relevant expertise, and promote cross-institutional collaboration. They will provide consulting (project planning; proposal assistance), data analysis, teach training courses, and arrange colloquia to inform and instruct faculty, staff and students. Appointees are required to collaborate in a collegial and inclusive fashion with university staff and clients in the execution of all job functions.

    RESPONSIBILITIES

    50% Collaborative research:
    • Plan and execute research proposals and funded projects with collaborators in the areas of data integration, multimodal data analytics, and machine learning. Analyze data and prepare reports from this research for publications and research proposals. Present research at conferences.
    40% Data Analytics training:
    • Implement multi-campus training program consisting of short workshops and classes (3 days to 5 weeks) in topics in data analytics, including:
      • Data fundamentals: a foundational course that covers good data and software practices, including data privacy and cyber security.
      • Data integration: transforming data held in different sources making it more valuable and presenting users with a unified view. Discovery, access, preparation, aggregation, curation, transformation, semantic harmonization, and sharing.
      • Multimodal data analytics: analytics across heterogenous, high dimensional data sets, using structured data. Data aggregation, model building and uncertainty quantification.
      • Machine Learning: approaches such as differential programming, deep learning, or artificial intelligence.
    • Develop and implement new workshops and classes in other related topics, as desired by the three institutions and research community served by the positions
    • Incorporate distance learning methodologies, webinars, online materials, or other cutting-edge educational solutions where needed, to provide a high quality of service for learners
    • One-on-one training activities specific to individual learner needs
    • Organize cross-institutional user group meetings and other community-based efforts
    10% Community outreach:
    • Engage regional institutions in the community of practice, including smaller institutions and underserved communities of users, through summer research opportunities, training of faculty and service providers, collaborative curricular development, and online participation in community activities.

    REQUIREMENTS

    Minimum/Required Qualifications:
    • M.S. or higher degree in data analytics, statistics, bioinformatics, or computer science, or related field (at time of hire)
    • Minimum of one term experience as a teaching assistant in data analytics, statistics, computational biology or computer science, or equivalent experience with formalized delivery of training in an industrial, academic or other setting
    • Demonstrable research or teaching experience in data integration, multi-modal data analytics, or machine learning
    • Demonstrated problem-solving skills, independence, high motivation, and excellent communication skills, both orally and written
    • Strong organizational and time management skills
    • A demonstrable commitment to promoting and enhancing diversity

    PREFERENCES

    Preferred (Special) Qualifications:
    • Ph.D. in bioinformatics, computational biology, computer science, engineering, mathematics, statistics, or related field
    • Research experience in life, health, earth or marine sciences
    • Teaching experience in life, health, earth or marine sciences
    • Experience with distance learning technologies and methodologies
    • Experience in a Linux or Unix environment
    • Experience as an industry or academic consultant in data analytics, statistics, bioinformatics, or computer science
    • Undergraduate degree or diploma in computer science, statistics or equivalent
    • Proficiency in one or more programming languages (R, Python, CUDA, Java, or similar)
    • Experience working in a service position
    • Experience in outreach and engagement with underserved communities

    HOW TO APPLY

    Please visit the URLs in the DESCRIPTION section above.

    DEADLINE

    To ensure full consideration, applications must be received by January 31, 2021. Applications will continue to be accepted after the full consideration date, until a sufficient applicant pool has been achieved or the position is filled. The closing date is subject to change without notice to applicants.

    POLICY

    Diversity:
    This position will interact with a wide variety of faculty, staff, and students representing a broad range of expertise and cultural backgrounds. This position will support each university's mission of equity, inclusion, diversity and social justice by respecting, welcoming and supporting the diverse perspectives of our clientele. We are currently engaged in work bringing STEM learning to underrepresented groups, so candidates with experience and interests in outreach and engagement with underserved communities are warmly encouraged to apply.
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