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    BACKGROUND

    The Division of Biological Sciences at the University of California, San Diego (www.biology.ucsd.edu) is seeking applications from outstanding research faculty at assistant, associate, and full levels. UC San Diego is forging a new paradigm for engagement and collaboration between STEM/Public Health/Health Sciences and the Social Sciences/Arts & Humanities (af-amstudies.ucsd.edu/facu[...].html). This faculty line is one of 13 ladder-rank faculty positions that unites STEM/Public Health/Health Sciences departments and African American and the Black Diaspora Studies through innovative research, coordinated teaching, and targeted service. Faculty will have multiple opportunities to engage with scholars across UCSD disciplines to address issues of race and racism, access and equity, and social and political influences focused on STEM/Public Health/Health Sciences, while also working within their home departments and professional communities.

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

    The Four Sections in the Division of Biological Sciences include:

    Cell & Developmental Biology: Areas of study include mechanistic analysis at multiple levels of: cell structure and function, the developmental biology of multicellular organisms, cutting-edge investigations into plant biology, and pathogenesis.

    Ecology, Behavior, & Evolution: Areas of study are focused on investigating ecological and evolutionary processes operating at the level of individuals, populations, species, and communities.

    Molecular Biology: Areas of study include the mechanisms of gene expression and function at the cellular and organismal levels, the study of normal and pathogenic microbes, and the study of immunology.

    Neurobiology: Areas of interest include multi-level analysis of brain circuits, neural networks, sensory receptors, neurotransmitter regulation, and computational models of behavior.

    RESPONSIBILITIES

    Faculty holding these positions will be expected to design and teach undergraduate courses that align with the African American Studies Minor (AASM). They may also demonstrate the equivalent through service to the AASM and by mentoring undergraduate students. We seek candidates whose research, teaching, and/or service advance anti-racism, anti-oppression, equity, and justice in STEM/Public Health/Health Sciences. We welcome candidates whose experiences have facilitated their understandings of traditionally underrepresented racial minority communities. Faculty are expected to have an inclusive stance on mentoring and advising that incorporates working with women and underrepresented racial minority undergraduate and graduate students.

    REQUIREMENTS

    All candidates must have earned a Ph.D. or equivalent degree, and be pursuing innovative research in areas aligned with one of the four Sections within the Division of Biological Sciences (see below). In addition to excellence and creativity in biological research and scholarship, successful candidates must have demonstrated commitment to equity and inclusion at the undergraduate and/or graduate levels. We are especially interested in candidates who have created or contributed to programs that aim to increase access and success of underrepresented students and faculty in the sciences. Tenured candidates must demonstrate strong leadership skills.

    Interested applicants must submit a cover letter, curriculum vitae, statement of research, statement of teaching, a statement describing their past leadership experience in fostering equity and diversity and/or their potential to make future contributions, and 3-5 publications. Applicants at the Assistant Professor level need to submit 3-5 references, and applicants at the Associate or Full Professor level need to provide contact information for 3-5 references.

    The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, discrimination, exploitation, or intimidation. With this commitment, UC San Diego requires all candidates for academic appointments with tenure or security of employment to complete, sign, and upload the Institutional Reference Check release form entitled "Authorization to Release Form" into RECRUIT as part of their application.

    PREFERENCES

    Strong candidates will have a research agenda easily related to factors of race/ethnicity, as well as previous experiences teaching, mentoring, and supporting the advancement of underrepresented racial minority students, and a record of service activities that promote diversity, equity, and inclusion. Strong candidates will also have experience with or the desire to engage in interdisciplinary conversations and scholarship across UCSD disciplines.

    TERMS

    Tenure-track

    LOCATION

    La Jolla, CA

    COMPENSATION

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

    HOW TO APPLY

    Applications must be submitted through the University of California San Diego's Academic Personnel RECRUIT System at:
    Assistant Professor: apol-recruit.ucsd.edu/JPF02702
    Associate or Full Professor: apol-recruit.ucsd.edu/JPF02735

    DEADLINE

    Review of applications will commence on June 30, 2021 and will continue until all positions have been filled or close on May 5, 2022.

    BACKGROUND

    The University of California, San Diego (UCSD) Autism Center of Excellence (ACE) is an NIH funded research Center with a mission to discover early bio-behavioral diagnostic and prognostic markers of autism. Part of the Department of Neurosciences, the Center conducts multidisciplinary research spanning eye tracking, clinical phenotype, genetics, brain imaging and stem cell. Currently, the mean age of diagnosis of autism in the US is around age 4 years, yet research shows that the disorder begins prenatally. This large time gap between the disorder's onset and eventual treatment can interfere with positive outcomes. Unusual attention patterns as indexed by eye tracking has been shown to be robust early marker of autism and one key mission of our Center is to combine multiple eye tracking tests alongside other data modalities such as genetics and brain imaging to discover reliable and valid early markers of ASD.

    RESPONSIBILITIES

    We are looking for a full-time post doctoral scholar to assist in the development of innovative eye tracking paradigms and to analyze data using modern bioinformatics approaches generated from multi-modal studies at the UCSD ACE with a particular emphasis on biomarker discovery.

    REQUIREMENTS

    Applicants should have programming experience in R/R Studio, MATLAB plus other standard environments such as Python and a track record in data visualization, bioinformatics, and biostatistics. Sophisticated ability to perform classification and cluster analyses are essential. Knowledge relating to autism, eye tracking, imaging, genetics and computer vision is a plus.

    PREFERENCES

    Easy to work with individual interested in public health issues and assisting with translational research designed for public good.

    TERMS

    Funding is available for up to a 4-year period pending performance. There is also opportunity to transition to a project scientist, or other faculty appointment at UCSD pending performance.

    LOCATION

    The position is funded through the Department of Neurosciences at the University of California, San Diego

    COMPENSATION

    $75,000-$95,000 annual salary + full benefits depending on experience.

    HOW TO APPLY

    Contact Karen Pierce, Ph.D. at kpierce[at]health.ucsd.edu
    For more information visit: autism-center.ucsd.edu

    DEADLINE

    June 1st, 2021

    Submitter

    BACKGROUND

    Embedded in a growing Global Computational Biology and Digital Sciences Unit you will have an impact on reinventing R&D, thereby actively contributing to the discovery of breakthrough therapies that will increase human health.

    As Senior Scientist you are part of our newly established Human Genetics team. You are responsible for the identification of new and novel therapeutic targets, biomarkers and additional target information by investigating the human genome.

    The focus is to utilize human genetic data to further drive discovery. Our work supports all therapeutic areas with top quality data analytics platforms to ultimately drive innovation and increase the health of our patients.

    TASKS & RESPONSIBILITIES

    • As Senior Scientist you are fully responsible for driving portfolio innovation and success, maintaining a high-performance culture and thus ensuring a seamless, intradepartmental communication and collaboration.
    • You are working across all Therapeutic Areas and Computational Biology teams while ensuring that IT collaboration is always up to speed with the current need and technologies.
    • Ensuring a smooth collaboration with experimental, clinical and bioinformatics scientists is what you are responsible for to support the design of studies for target and biomarker discovery.
    • Together with other team members you are accountable for the evaluation and development of cutting-edge techniques in the area of human genetics.
    • You develop novel methods for genetic association test to targets. In addition, you are responsible for the integration of data such as GWAS summary statistics with eQTLs, transcriptomics, epigenetics and gene networks.
    • The establishment of analytical methods and the development of machine learning applications on novel data types is also part of your role.

    REQUIREMENTS

    • PhD in Statistical Genetics, Computer Science, statistics or related fields. Post Doc experience, preferably in an international industry setting, would be of advantage
    • Expert knowledge in Human Genetics, as well as advanced data analytics skills paired with experience in Biobanks and huge data integration efforts. Expertise in statistical analytics and machine learning in Genetics is required
    • Professional experience in drug discovery and pipeline driven environments is a plus
    • Established international network from previous experience with links to academia
    • Strong communication and interpersonal skills with the ability to present and explain findings to people not familiar with specific topics
    • Team player with the urge of getting teams to work together

    COMPENSATION

    This is a highly challenging, technical role offering a competitive remuneration package and some great benefits.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Statistical, Human, Genetics, Scientist, Senior, GWAS, Genomics, Bioinformatics, Machine, Learning, Analysis, Drug, Discovery, Pharma, Integration, Epigenetics, Transcriptomics, Germany

    BACKGROUND

    Lawrence Berkeley National Lab's (LBNL, www.lbl.gov) Joint Genome Institute (JGI, jgi.doe.gov) Division has an opening for a Computer Systems Supervisor to join the team.

    In this exciting role, you will help build our high-performance hardware and software infrastructure. The JGI's mission is to support, enable, and amplify the scientific output of the environmental genomics community. As the demand for sequencing and *omics data has increased, the complexity of the infrastructure needed to support this effort has increased.

    The JGI relies on high-performance computing systems managed by the National Energy Research Scientific Computing (NERSC) facility, as well as user and data management systems run in Berkeley Lab's IT Division. You will be responsible for ensuring high availability of the hardware that supports mission critical systems, collaborating with JGI's partners at Berkeley Lab, and architecting a strategy for infrastructure that can support JGI's growth over the next 5-10 years. This role will be a unique blend of hands-on technical work and strategic planning for an incredibly dynamic workload. This position also analyzes the characteristics of JGI application codes and their usage on HPC/IT systems and collaborates with NERSC/IT to monitor system utilization. You are responsible for managing user data collected JGI compute and data systems, as well as assisting with operational and system-level data.

    RESPONSIBILITIES

    What You Will Do:
    • Recruit, retain, and develop the staff responsible for maintaining JGI's computing infrastructure.
    • Set goals for staff that align with JGI and DSI strategic priorities.
    • Organize work to ensure staff understands their duties and delegated tasks.
    • Monitor employee performance and provide constructive feedback and coaching.
    • Lead (or collaborate on) systems programming projects to maintain and enhance system functionality, in areas such as large systems monitoring, systems and workload management and file systems and I/O subsystems.
    • Develop and use tools to manage task automation on the computational systems.
    • Install, test, maintain and manage the JGI computational systems.
    • Identify and evaluate emerging technologies and explore new features that would create new capabilities and enhance system performance and usability.
    • Recommend and lead implementation and deployment efforts for system improvements that enhance reliability, stability, usability, performance and security.
    • Work independently and with JGI's infrastructure partners (including NERSC, EMSL, and LBL IT) to diagnose and fix system problems, help analyze system issues and develop and implement workarounds and/or patches for software bugs.
    • Participate in working/user/advocacy groups and represent JGI and its interests to the broader DOE community.
    • Provide leadership and technical guidance to the Data Science and Informatics Department as well as JGI staff.
    • With the CIO, managing the budget for JGI software and hardware infrastructure.
    • Develop a strategic plan for JGI infrastructure in partnership with the CIO and JGI leadership.
    • Lead the procurement of hardware infrastructure to support JGI Science and Operations.

    REQUIREMENTS

    What is Required:
    • Bachelor's degree in Computer Science, Engineering, Business, or a related field, and or equivalent experience.
    • Minimum of 4 years of experience with systems programming or management of large-scale UNIX based systems in a high-performance computing (HPC) or warehouse-scale computing (WSC) environment.
    • Experience managing and leading diverse teams.
    • Experience with C and shell/PERL/Python systems programming as well as with processor, interconnect, and storage technologies for High Performance Computing systems.
    • Experience with installation, configuration, monitoring, and tuning of workload management systems such as SLURM.
    • Experience with the installation, operation, and testing of network infrastructure components, including switches and firewalls.
    • Experience in the Research and Education or Higher Education sectors.
    • Experience with strategic planning of complex infrastructure to support life sciences workloads.
    • Strong technical and collaboration skills needed to create and deploy innovative ways of allowing our diverse user base to effectively utilize the unique resources that JGI relies upon.
    • Knowledge of configuration management systems such as Puppet and Ansible.
    • Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active intellectual environment.
    • Excellent oral and written communication skills.
    • Understand user needs and show initiative, tact and good judgment in developing solutions to problems.
    • Demonstrated excellent systems programming skills and strong knowledge of UNIX/Linux internals.
    • Demonstrated ability to build and support complex web and computing infrastructure.
    • Demonstrated ability to successfully lead complex projects.
    • Demonstrated ability to provide technical guidance, mentoring, and leadership to staff.
    Desired Qualifications:
    • A minimum of two years of experience in a lead/supervisory role.
    • Desirable qualifications include experience in one or more of the following:
      • Performance variability
      • Workflow managers
      • Cloud-based computing – IaaS, PaaS, SaaS
      • Specialized networking (infiniband, high-speed networks)
      • Lustre or other parallel file systems

    TERMS

    • This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
    • 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.

    LOCATION

    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[...]98442 and follow the on-line instructions to complete the application process.

    Organization: JG-Joint Genome Institute

    DEADLINE

    For full consideration, please apply by April 26, 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 (www.lbl.gov/HR/h[...].html).

    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/ofcc[...]t.htm) 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

    The Gulhati lab at Rutgers University / Cancer Institute of New Jersey has a requirement for Bioinformatics Specialist. Our group is dissecting the fundamental principles governing initiation, metastasis and therapeutic resistance of gastrointestinal cancers with an emphasis on the functional contribution of the microbiome and tumor microenvironment. We take an integrated genomics and biological systems-based approach employing a diverse array of experimental models and cutting-edge techniques to conduct mechanistic and translational studies. Our overarching goal is to identify new vulnerabilities and novel treatments that can be translated to the clinic.

    RESPONSIBILITIES

    Ability to perform TCGA data analysis and single-cell RNA sequencing transcriptomic analysis is essential.

    REQUIREMENTS

    PhD in Bioinformatics, Computational Biology or related field is required. Experience analyzing high-throughput genomic data is required. Proven skills in programming are essential. Prior experience with performing TCGA analysis and single-cell RNA sequencing transcriptomic analysis is essential. Occasional on-site meetings required. Working knowledge of molecular biology or cancer biology is a plus. Effective oral and communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint.

    LOCALE

    Candidates must be based in the New Jersey/New York City area. Work can be done remotely but occasional meetings will be necessary.

    COMPENSATION

    Competitive and commensurate with experience and qualifications.

    HOW TO APPLY

    Please submit CV with relevant education and experience including publications to pat.gulhati[at]rutgers.edu.

    BACKGROUND

    Lawrence Berkeley National Lab's (LBNL, www.lbl.gov), Biological Systems and Engineering Division (biosciences.lbl.gov/divisions/bse/) has an opening for a Site Reliability Engineer (SRE) for Bioinformatics Systems and Tools (BST).

    The successful candidate is responsible for the administration, management, and maintenance of Bioinformatics systems (hardware, software, documentation, monitoring, and data), and for deploying and monitoring releases of Bioinformatics tools. This position supports all levels of the design, configuration, implementation, operation, and maintenance of computer-oriented systems and networks, including real-time and event-driven systems, databases and database management systems, application systems, operating systems, and data communications related to ESE's shared computing and instrument controller infrastructure.

    This position requires proven experience working with computer hardware, and System Administration with both the Microsoft and Linux platforms. This position will also require some coding skills to build and maintain tools for improving service levels. This position will demonstrate good judgment in selecting methods and techniques for obtaining solutions while networking with key contacts outside their own area of expertise. This includes aligning systems, processes, and procedures to conform to industry best practices. This position will report to the Site Reliability Engineer for IT Operations (SRE for iOps) at ESE.

    RESPONSIBILITIES

    What You Will Do:
    • Administers and maintains ESE's shared computing environment, including hardware, software, services, documentation, monitoring, and data.
    • Manages, and maintains Instrument Controller Infrastructure, including hardware, software, documentation, monitoring, and data.
    • Maintains Core Infrastructure, including network storage, XCP-ng hypervisors, and cloud-based services.
    • Manages, and maintains operational tools, including check_mk, Ansible, Preseed, JIRA.
    • Works as part of a team to maintain data and service availability.
    • Determine design, development, configuration, implementation and maintenance of application and operating system components in a fast-paced and creative environment.
    • Works closely with computational scientists, biologists, and chemists to improve usability and interoperability with other informatics systems.

    REQUIREMENTS

    What is Required:
    • Minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or equivalent experience.
    • Experience working with computer hardware, and System Administration experience with both the Microsoft and Linux platforms.
    • Experience with the following technologies:
      • Debian/Ubuntu System Administration
      • XCP-ng Hypervisor
      • TrueNAS/FreeNAS filers
      • Windows System Administration
      • Docker and Docker Swarm
      • Ansible
      • Python
      • Git
    • Communication skills in listening, reading, writing, and speaking with diverse teams.
    • Able to improvise and adapt.
    Desired Qualifications:
    • Experience in Bioinformatics

    TERMS

    • This is a full time, 2 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 will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
    • 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: Emery Station East – Bldg. 978, 5885 Hollis St., 4th floor, Emeryville, CA.

    COMPENSATION

    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 (www.lbl.gov/HR/h[...].html).

    HOW TO APPLY

    Apply directly online at 50.73.55.13/coun[...]98026 and follow the on-line instructions to complete the application process.

    Organization: BE-Biological Systems & Eng

    ABOUT US

    Learn about us!

    Biological Systems and Engineering Division:
    Vision: To lead efforts that combine the power of biology with the tools of engineering to develop sustainable energy and biomanufacturing solutions and improve human health.
    Mission: Advance a mechanistic and predictive understanding of complex biological systems over multiple scales in terms of their responses to manipulation, stress, disease and environmental challenges and translate this knowledge using engineering principles to develop resilient systems, tools, and processes for the efficient production of fuels, chemicals, materials, tissues, and therapeutics.

    Berkeley Lab:
    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.

    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/ofcc[...]t.htm) 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

    Ribometrix is committed to delivering on the promise of addressing human disease through novel scientific insight into the structure of RNA. Unlike traditional drug discovery methodologies that target the product of RNA (proteins), we believe small molecule therapeutics can be designed to interact with RNA to deliver a meaningful therapeutic benefit to patients living with disease.

    We are a team of individuals driven by the spirit of innovation, collaboration, empowerment, and integrity who are committed to the goal of helping patients with our novel therapeutic approach.

    If you are looking for an opportunity to pioneer new science, collaborate with great people, and ultimately help those in need, then Ribometrix may be the place for you.

    We are seeking a highly motivated Senior Scientist to join our RNA Biology group and contribute to our bioinformatics capabilities. This person will be part of the bioinformatics team that is responsible for implementing and developing NGS software, developing and validating biological insights from complex datasets, and creating visualization methods and will have a key role in identifying and characterizing RNA targets for the Ribometrix platform. The position provides opportunities to collaborate extensively with other members of the RNA Biology, Lead Discovery, and Chemistry teams and to contribute to both the science and strategy of treating disease by targeting RNA. An ideal candidate will have experience with algorithm design for NGS data, have the capability to integrate genomics data in novel analyses, and have excellent understanding of key bioinformatic resources, including ontologies.

    RESPONSIBILITIES

    Responsibilities include but are not limited to:
    • Design algorithms to answer biological questions and validate with statistical methods.
    • Implement existing NGS software in workflows and develop software to meet unmet needs.
    • Create unique visualization methods to communicate results to wet-lab biologists and leadership.
    • Perform complex data analysis and interpretation to generate conclusions and next steps that drive the science forward.
    • Support multiple tasks and maintain attention to detail in a fast-paced environmentWork collaboratively and lead by example to promote our Ribometrix Core Values: Integrity, Collaboration, Innovation, Empowerment, Resilience, and Fun.

    REQUIREMENTS

    • BS in Bioinformatics or related field with 18+/ years experience; MS in Bioinformatics or related field and 15+ years experience; or PhD in Bioinformatics or related field and 6+ years experience (Level will be awarded commensurate with experience).
    • Extensive knowledge of next-generation sequencing (NGS) and associated technologies (e.g., RNA-seq) is required.
    • Experience integrating genomics and/or transcriptomics data types is required.
    • A track record of algorithm design is required.
    • Experience with RNA biology (e.g., mRNA quality control, RNA processing, or lncRNAs) is preferred.
    • Experience interrogating RNA structure, and/or analyzing RNA chemical modification data (e.g., SHAPE or DMS) is preferred.
    • Experience with SQL databases and/or interfacing with a LIMS system is preferred.
    • Strong initiative, problem solving skills, desire to learn, attention to detail, and ability to effectively organize and prioritize are required.
    • Ability to work independently and as part of a diverse and dynamic team is required.
    • Strong initiative, problem solving skills, desire to learn, attention to detail, and ability to effectively organize and prioritize are required.
    • Ability to work independently and collaboratively as part of a diverse and dynamic team is required.
    • Excellent interpersonal skills, professional maturity, proactive communication skills, and strong written and verbal communication and presentation skills are required.
    • Strong initiative complemented with a sense of accountability, sense of urgency and adaptability is required.
    • Experience working in drug discovery, especially in an industry setting, is preferred.
    • Previous experience in a startup/entrepreneurial environment is preferred.

    LOCALE

    Durham, NC USA 27709

    HOW TO APPLY

    Apply Here: www.click2apply.net/nVqV[...]IwRwB

    POLICY

    Ribometrix is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of this position.

    Recruiting Agencies, Please Note:
    Ribometrix will not accept unsolicited assistance from recruiting/search agencies for this employment opportunity. Please, no phone calls or emails. All resumes submitted by recruiting or search agencies to any employee at Ribometrix via email, the Internet or in any form and/or method without a valid written search/recruitment agreement in place for this position will be deemed the sole property of Ribometrix. No fee will be paid in the event the candidate is hired by Ribometrix as a result of the referral or through other means.

    PI134988491

    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 Center 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/professorship 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 (>350 papers since 2009) and has an excellent post-doctoral training track record (e.g. 24 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 or accepted in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Nature Machine Intelligence, Cancer Discovery, Genome Research, Genome Biology, Genome Medicine, NAR, Advances Science, GigaScience, etc.

    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 Center 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, Python, R, 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/.

    PREFERENCES

    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.).

    TERMS

    3 years

    LOCALE

    Houston, Texas

    COMPENSATION

    NIH guideline or by experience

    HOW TO APPLY

    Send email 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

    Available until being filled.

    DESCRIPTION

    The Opportunity:
    We have an exciting new opportunity for a Senior Bioinformatician to implement the genomics pipelines of the Tree of Life programme.

    About Us:
    The Tree of Life Programme at the Sanger Institute was established to develop and deliver platforms that will transform our understanding of the natural world through high-volume and high-quality biodiversity genomics.

    The Informatics Infrastructure team is currently building an infrastructure to support the generation and analysis of tens of thousands of genomes for Tree of Life. The two largest projects currently are the Darwin Tree of Life and Aquatics Symbiosis Genomics projects, which combined aim to sequence over 73,000 species, and more are expected through the Earth BioGenome Project. Whatever your favourite species is, it will come through the pipeline and you will be part of the team that assembles its genome and helps making discoveries.

    About the Role:
    You will be developing the suite of genomics and comparative genomics pipelines that will drive the analysis of all the genomes being generated by the programme. You will be working with software developers and bioinformaticians within the programme to adapt, improve, and integrate existing software, to best answer the scientific questions of the programme. The pipelines will run on Sanger's world-class computational resources, including an OpenStack private cloud environment, a 17,000+ core computational cluster and many petabytes of high-speed distributed filesystems and object stores.

    About You:
    You are a skilled Bioinformatician with a demonstrated experience of designing and running genomics or comparative genomics pipelines on large datasets. You uniquely combine extensive genomics knowledge and hands-on experience writing software and bioinformatics analyses. You have a substantial experience using a compute cluster and running pipelines at large scale. You are attentive to the literature, and want to discuss with the faculty teams in order to select the best tool for each job. You are an excellent communicator with the ability to build effective working relationships with internal and external stakeholders at all levels including influencing key decision makers on the best solutions for the project.

    Essential Skills:
    Technical:
    • MSc, or equivalent working experience, in Bioinformatics, Software development, or Computer Science
    • Working knowledge of UNIX/Linux and shell scripting
    • Experience of a scripting language such as Python
    • Experience designing and running genomics or comparative genomics pipelines
    Competencies and Behaviours:
    • Ability to prioritise, manage workload, and deliver agreed activities consistently
    • Ability to work collaboratively with a range of stakeholders at all levels
    • Ability to communicate effectively (verbal and written) with all levels of management & staff
    • High degree of initiative and self-motivation
    • Ability to effectively explain technical issues to non-technical users
    • Ability actively question and listen to be able to problem solve
    • High level of problem-solving skills
    • Ability to think laterally in order to combine disparate technologies
    Ideal Skills:
    Technical:
    • Experience running and writing workflows in languages such as SnakeMake or Nextflow
    • Experience in development best practice, git, CI/CD, working in an Agile environment
    Other information:
    Whilst the developments around COVID-19 continue to evolve, the Wellcome Genome Campus is closed for all but essential functions and facilities.

    People remain at the centre of everything that we do and the majority of our staff are now working remotely to ensure continuity of operations, making use of remote communication and collaboration tools.

    Interviews will be taking place virtually and the successful candidate should expect to be fully supported through remote on-boarding and working from home until the Campus re-opens to all staff. This approach may vary for individuals located overseas and/or where a visa is required and starting will be based on a number of factors, we will be able to provide specialist advice to those affected candidates.

    HOW TO APPLY

    Please apply with your CV only by the closing date 29th April 2021 here: jobs.sanger.ac.uk/vaca[...].html

    BACKGROUND

    Lawrence Berkeley National Lab's (LBNL, www.lbl.gov) Environmental Genomics and Systems Biology Division (biosciences.lbl.gov/divisions/egsb/) has an opening for a Software Developer.

    The Software Developer will help build applications and frameworks supporting a variety of high-profile bioinformatics projects and will contribute to a variety of critical National Institutes of Health (NIH) and Department of Energy (DOE) projects, including the Gene Ontology (GO), the Monarch Initiative, and the Center for Cancer Data Harmonization (CCDH).

    This position involves developing and maintaining Python software for the creation, management, and analysis of biological knowledge about genes, pathways, diseases, and phenotypes. Working as part of a distributed team, the Software Developer will develop systems for interacting with databases (primarily graph/RDF databases), supporting curation interfaces, and workflow systems for integrating data from a variety of heterogeneous sources.

    We actively seek diverse applicants for this position. Note that applicants are not expected to have extensive knowledge of biology – we are open to those who are eager to learn about areas such as molecular biology and medical informatics.

    We encourage you to submit a cover letter with your application, and to include a URL for your code repository (e.g., GitHub or GitLab).

    RESPONSIBILITIES

    What You Will Do:
    • Work with an international team of software developers, curators, scientists, and clinicians to provide quality applications that realize scientific goals.
    • Work with domain experts to plan and prototype new applications, features, and interfaces.
    • Develop and maintain software for integrating biological data using ontologies.
    • Maintain and extend extract, transformation, and load pipelines.
    • Develop and maintain Python codebase for ontology-based data access.
    Additional Responsibilities for Level 3:
    • Perform requirements analysis and work with product owners on software specifications.
    • Provide technical assistance and training to collaborators at other sites.
    • Serve as a key contributor to troubleshoot and solve highly technical, complex problems and provide direction for the project.
    • Assist in the writing of manuscripts and progress reports.

    REQUIREMENTS

    What is Required:
    • Bachelor's Degree in computer science, bioinformatics, or related field and a minimum of 5 years of relevant experience, or Master's Degree and a minimum of 3 years of relevant experience.
    • Demonstrated software engineering skills.
    • Experience in team-based software engineering, using collaborative software development methodologies.
    • Experience with one or more forms of database management systems (e.g., relational, graph, document).
    • Experience with the Python programming language.
    • Experience with modern devops workflows and implementations.
    • Experience with the maintenance and tuning of common software stacks.
    • Experience with one or more data modeling frameworks (e.g., UML, JSON-Schema, LinkML)
    • Ability to work effectively both independently and in a diverse team environment.
    Desired Qualifications:
    • Knowledge of ontology and knowledge engineering frameworks, APIs, languages, and techniques (e.g., OWLAPI, Jena, SPARQL).
    • Experience with systems architecture, operations, deployment, and security.
    • Expertise with graph or RDF databases.
    • Understanding of and experience with open-source software and open science.
    • Familiarity with biomedical terminology.
    Additional Desired Qualifications for Level 3:
    • Bachelor's Degree in computer science, bioinformatics, or related field and a minimum of 8 years of relevant experience, or Master's Degree and a minimum of 5 years of relevant experience.
    • Demonstrated experience programming as part of a team on mid to large software applications.
    • Demonstrated experience working with users to gather requirements, demonstrate new features, etc.
    • Experience modeling and working with complex heterogeneous biomedical data.
    • Demonstrated contributions to full stack applications for exploring, analyzing, or visualizing data.

    TERMS

    • This is a full time, 2 year, term appointment with the possibility of extension or conversion to Career.
    • This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
    • 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

    This position will be remote initially, but limited to individuals residing in the United States tentatively until 2022 due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at: West Berkeley Biocenter (Potter St.) --- Bldg. 977, 717 Potter St., Berkeley, CA. We are open to fully remote workers. The option for remote work will also be available after shelter in place restrictions are lifted.

    COMPENSATION

    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).

    HOW TO APPLY

    Apply directly online at 50.73.55.13/coun[...]97557 and follow the on-line instructions to complete the application process.

    Organization: MB-Molecular Biophys & Integ Bio

    ABOUT US

    Learn about us!
    Environmental Genomics and Systems Biology
    Mission: Linking genome biology to ecosystem dynamics.

    Vision: Sustainable solutions to energy and environmental challenges developed through mechanistic understanding of ecosystem dynamics.

    Approach: We develop systems-level models using integrated molecular observation and controlled manipulation of model organisms and defined biomes to design and test interventions that promote beneficial outcomes.

    Berkeley Lab:
    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.

    BACKGROUND

    We seek a highly motivated bioinformatician to join the Phenome Centre Birmingham team and contribute to fulfilling the research objectives of this centre with a focus on the development, implementation and application of computational approaches for metabolomics in human health and toxicology.

    The post has been created by a collaboration between the Phenome Centre Birmingham and the new EU H2020 PrecisionTox consortium. The post holder will be primarily involved in the application of computational metabolomics to process, annotate and analyse one of the world's largest comparative, multi-omics toxicological datasets generated as part of PrecisionTox.

    Applicants should hold a PhD in computational metabolomics, chemoinformatics, bioinformatics or a closely related area, with experience and demonstrated success of working independently and as part of a team in industry or academia, as well as having a growing national reputation in metabolomics and/or bioinformatics.

    The University of Birmingham offers a variety of courses for personal development of its employees and is a family-friendly employer. The School of Biosciences welcomes flexible and part-time working to suit family or other commitments. The University has on-campus childcare facilities.

    The post is available in the first instance for 3 years with the expectation for significant extension subject to the success of Phenome Centre Birmingham. Informal enquiries can be addressed to Dr Ralf Weber (email: r.j.weber[at]bham.ac.uk) or Professor Mark Viant (email: m.viant[at]bham.ac.uk), post Reference Number: 97117.

    RESPONSIBILITIES

    The role will primarily include the development, implementation and application of data processing workflows, including experimental design, pre-processing, and statistical analysis of large scale LC-MS based metabolomics studies; collaboration with researchers within and external to the university (academic, industry, scientific instrument manufacturers); and providing training and support in bioinformatics.
    • Develop and implement computational workflows, to be applied in human health and toxicology research, enhancing the capabilities and capacity of the PCB
    • Perform extensive pre-processing of metabolomics data acquired on the mass spectrometry platforms in the PCB, in particular for the PrecisionTox project
    • Conduct an array of univariate and multivariate statistical analysis of data acquired on the mass spectrometry platforms, in particular for the PrecisionTox project
    • Manage and ensure optimal operation of software and other bioinformatics resources so to meet research goals in a timely manner
    • Curate datasets both locally at Birmingham and at international data repositories
    • Disseminate high quality research in project reports, articles in peer-reviewed journals, papers at scientific conferences and to the general public
    • Work with the PCB Directors to achieve the research objectives of the PCB
    • Carry out administrative tasks related directly to the delivery of the research.
    • Provide bioinformatics and computational biology training to University staff, students and others
    • To be a conduit for the multidirectional flow of knowledge and information between the two centres: Phenome Centre Birmingham and PrecisionTox.
    • Promote equality and values diversity acting as a role model and fostering an inclusive working culture.

    REQUIREMENTS

    • First degree in bioinformatics, (bio)chemistry, mathematics, statistics or computer science, and a PhD or equivalent experience in computational metabolomics, chemoinformatics, bioinformatics, biostatistics or a closely related area
    • High level of experience in the computational analysis of metabolomics data.
    • High level analytical capability.
    • Good understanding of principles involved in data processing, including relevant software (e.g. XCMS, Compound Discoverer, etc)
    • Hands-on skills in bioinformatics, data science or data analytics.
    • Significant experience in computer programming (e.g. R-language and python).
    • Experience with unit testing, code refactoring, version control (GIT), and release techniques.
    • Excellent ability to communicate complex information clearly.
    • Excellent ability to work within a scientifically diverse team.
    • Well organised and experience in managing multiple projects simultaneously.
    • A high level of accuracy and attention to detail.
    • Ability to work on own initiative, manage time effectively, progress tasks concurrently and work to deadlines, including the ability to work remotely.
    • Ability to assess resource requirements and use resources effectively, including extensive use of remote resources.

    TERMS & COMPENSATION

    • Full time starting salary is normally in the range £30,942 to £33,797. As this vacancy has limited funding the maximum salary that can be offered is £40,322.
    • Grade 7
    • Full Time FTC, 3 years

    LOCALE

    Phenome Centre Birmingham, School of Biosciences
    University of Birmingham, Edgbaston, Birmingham, UK

    HOW TO APPLY

    To apply visit: www.birmingham.ac.uk/staf[...].aspx or apply directly: bham.taleo.net/care[...]ondon

    DEADLINE

    6th May 2021

    DESCRIPTION

    Job Summary/Basic Function:
    Join our expanding team focused on gene-environmental interactions in the pathogenesis and progression of osteoarthritis. Dr. Matlock Jeffries is seeking a Post-Doctoral Fellow with a strong background in osteoarthritis research to be part of the team working to understand how epigenetic modifications and the microbiome contribute to the development of knee osteoarthritis in human patients and mouse models. The successful candidate will be part of a dynamic lab with synergistic skills and experiences and will be given the opportunity to develop new projects that complement the overall directions of the lab. The team utilizes next-generation sequencing and microarray approaches to DNA methylation analysis, as well as Cas9-based epigenetic editing, RNA-Seq, 16s microbiome, and computational and bioinformatic analyses to expand knowledge of OA pathogenesis. Our laboratory has longstanding experience in the use of DMM surgery to induce OA in mouse models and collaborates with investigators at the leading edge of OA animal model research. Dr. Jeffries's lab is well funded through multiple NIH and Department of Defense awards. Both Dr. Jeffries and the Arthritis and Clinical Immunology Program of the Oklahoma Medical Research Foundation have a long history of exceptional mentorship. This is a mentored position for postdoctoral training. Incumbents at this level plan, design and conduct research experiments, manage research projects, prepare reports and papers for publication, presentation and future research, contribute to grant writing and are encouraged to write applications for fellowships. Learn the complexities of research lab management and participate in various lab management responsibilities.

    Benchmark Expectations:
    • Conduct scientific research.
    • Manage research projects.
    • Present scientific information both formally and informally, including "big data" sequencing / epigenetic / genetic information.
    • Prepare papers for publication.
    • Contribute to grant writing.
    • Perform lab management responsibilities as assigned.
    • Work collaboratively and collegially as part of the team while developing skills needed as an independent scientist.
    • Have experience and/or exposure to osteoarthritis or a closely related field.

    REQUIREMENTS

    Knowledge, Skills, and Abilities:
    Knowledge of the principles and practices of scientific theory and research; demonstrates skill in formulating and testing hypotheses; ability to conduct scientific research experiments; to analyze and summarize data and results; to write technical, scientific papers; to write grants and to communicate effectively both orally and in writing; to mentor students and guide/direct the work of less senior scientists; to manage a research lab with progressive competency and to demonstrate leadership in a research lab.

    Minimum Qualifications:
    Ph.D. in a biological science, chemistry, physics or other relevant area, or M.D., or equivalent.

    Minimum Degree Required:
    Doctorate

    Preferred Qualifications:
    Doctorate in OA research, either basic or translational. History of work in OA mouse models preferred. Publication of at least 2-3 peer-reviewed articles. Experience planning and effectively executing animal projects and maintaining animal colonies. Experience in epigenetics, genetics, or data processing of large genomic datasets preferred but not required. Great communication skills needed. Must have the ability to multitask and work both independently and as a member of an interdisciplinary team with exemplary attention to detail. Must have good computer skills, in the laboratory we routinely use macOS, Windows, and Linux-based systems. A familiarity with R and/or Linux command line is helpful.

    Physical Demands:
    Regularly required to stand, use manual dexterity, talk or hear; Frequently required to walk and reach with hands and arms; occasionally sit; frequently lift and/or move up to 50 pounds; vision abilities include close vision, color vision, depth perception and ability to adjust focus. Potential exposure to fumes, airborne particles, or rodent dander. May work with toxic, caustic chemicals, radioactive materials, liquid nitrogen, human tissue or blood. Potential risk of electrical shock. Occasional exposure to cold 4C, and/or extreme cold -80C from freezers. Noise level is usually moderate.

    TERMS

    Status: Full-Time

    HOW TO APPLY

    To apply, visit apptrkr.com/2224379

    Posting Number: 000240
    Position Type: Scientific
    Classification: Ongoing
    Department: Arthritis & Clinical Immunology – Jeffries

    ABOUT US

    OMRF is an independent, not-for-profit biomedical research institute adjacent to the University of Oklahoma Health Sciences Center (OUHSC) campus in Oklahoma City. Oklahoma City offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy.

    POLICY

    OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values.

    OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.

    Copyright ©2017 Jobelephant.com Inc. All rights reserved.

    www.jobelephant.com
    jeid-707608228445cc439c324834f6980a2a

    DESCRIPTION

    Lab introduction:
    The University of Texas Southwestern Medical Center (UTSW) is an elite research institution, with ongoing support from the National Institutes of Health and other federal agencies, foundations, individuals, and corporations providing more than $360 million per year to fund research. The faculty includes many distinguished members who have inspired the development of the Medical Center over this time, including 6 Nobel laureates, 22 National Academy of Science members, 16 National Academy of Medicine members and 13 investigators in the Howard Hughes Medical Institute.

    The Tao Wang Lab is a well-established bioinformatics research group at UTSW. Statistics, informatics, medicine, and biology are the four integral pillars of Tao Wang Lab's interdisciplinary research program. Dr. Wang's group has been working on mining public and in-house high throughput data to achieve a deeper understanding of the immunology of various human diseases, with a heavy emphasis on cancers, and its implications for diagnosis, prognosis, and treatment. The core research interest of Wang Lab is in tumor immunogenomics, computational immunology, scRNA-seq data analyses. The ultimate goal is to impact the prognosis and treatment of patients suffering from cancers and other diseases, through modeling of high dimensional data, especially genomics data. Tao Wang Lab has published 51 papers in top journals, such as Science Immunology (2020, Lu et al), Cancer Discovery (2018, Wang et al), SMMR (2020, Park et al), Nature Methods (2021, Zhang et al), and Cell (2019, Zhu et al), since its establishment in 2016.

    At UTSW, there are great opportunities for scientists to collaborate with outstanding biomedical investigators and work on exciting research projects. UT Southwestern and the Tao Wang Lab provide a friendly, dynamic, collaborative, and integrative research and training environment with state-of-the-art facilities. UTSW is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply.

    Position Title:
    Staff or Postdoctoral Fellow (Bioinformatics/Biostatistics/Computer Science/Computational Biology)

    Duties & Responsibilities:
    The projects include (1) developing novel methods for analysis and integration of cancer genomics, proteomics, imaging and other forms of high-dimensional -omics data, and developing prediction models for patients' clinical outcomes, (2) assembling and statistical analyses of big clinical data, (3) creating databases and websites for management of big biological data. Application for independent funding under the support of the PI.

    Position Qualifications:
    Candidates should have a doctoral degree (or will have one soon) in either one of the following fields, including genetics/genomics, bioinformatics, computer science, biostatistics, computational biology or a related field.

    Lab website: qbrc.swmed.edu/labs[...]x.php
    Google scholar: scholar.google.com/cita[...]hl=en
    QBRC with which Wang lab is affiliated with: qbrc.swmed.edu

    Recent publications:
    (1) Probability of phenotypically detectable protein damage by predicted deleterious mutations: analysis of ENU-induced mutations in the Mutagenetix database. Nature Communications. 2017: We developed a novel statistical metric to measure the probability of phenotypically detectable protein damage by predicted deleterious mutations.
    (2) An Empirical Approach Leveraging Tumorgrafts to Dissect the Tumor Microenvironment in Renal Cell Carcinoma Identifies Missing Link to Prognostic Inflammatory Factor. Cancer Discovery. 2018: We developed a Bayesian model to dissect the tumor microenvironment of kidney cancers, and developed the first empirical stroma/immune gene signature for kidney cancers.
    (3) Somatic Mutations Increase Hepatic Clonal Fitness and Regeneration in Chronic Liver Disease. Cell. 2019: We developed a suite of bioinformatics pipelines for analyzing ultra-deep sequencing data, and deployed them to study the low frequency mutations in liver cirrhosis patients.
    (4) Tumor Neoantigenicity Assessment with CSiN Score Incorporates Clonality and Immunogenicity to Predict Immunotherapy Outcomes. Science Immunology. 2020: We developed a neoantigen quality-based metric to predict the responses of cancer patients to checkpoint inhibitor immunotherapies.
    (5) Mapping the Functional Landscape of T Cell Receptor Repertoire by Single T Cell Transcriptomics. Nature Methods. 2021: We developed a Bayesian model named Tessa that is capable of quantifying the associations between T cell receptors and T cell gene expression in various biological contexts.
    (6) Overcoming Expressional Drop-outs in Lineage Reconstruction from Single-cell RNA Sequencing Data. Cell Reports. 2021: We developed a Bayesian model to trace the single cell lineages based on variant information derived from scRNA-seq data.

    HOW TO APPLY

    Please send your CV to: Dr. Tao Wang (Tao.Wang[at]UTSouthwestern.edu). Please don't add compressed files (e.g. zip files) in the email attachment, which will be blocked by UTSW firewall.

    DEADLINE

    Until filled
    Opportunity: Postdoc @ UCSF -- San Francisco, CA (US)
    Submitted by Aaron Diaz; posted on Tuesday, April 13, 2021

    BACKGROUND

    A Postdoc position is available in the Diaz lab at UCSF (diazlab.ucsf.edu), funded by grants from the NIH and private foundations. As a member of the UCSF Brain Tumor Center (braintumorcenter.ucsf.edu) our mission is the development of therapeutics for brain cancer. Our core competencies include single-cell genomics, bioinformatics, and glioma biology.

    We have ongoing research efforts studying immune suppression in brain tumors, via profiling clinical specimens using single-cell technologies combined with standard molecular approaches. We have generated several million single-cell mRNA and ATAC libraries from hundreds of human adult and pediatric brain tumors. Additionally, we are pioneering digital spatial profiling and single-cell epigenetic assays. We are looking for both wet-lab and bioinformatics personnel and applications from candidates with expertise in both domains are also welcome.

    RESPONSIBILITIES

    The duties of wet-lab postdocs include cell and nuclei extraction from fresh and frozen tissues, preparation sequencing libraries, and various standard molecular assays. The duties of bioinformatics postdocs include bioinformatics analyses of single-cell and bulk 'omics data.

    REQUIREMENTS

    The minimum requirements for the position are: 1) a PhD in the biomedical sciences or a related discipline; 2) for wet-lab postdocs: experience in standard cellular and molecular techniques; for bioinformatics postdocs: experience with 'omics data analysis and strong programming skills in a relevant language (e.g. R, Python); 3) multiple first-author papers in respectable journals; 4) fluency in English, and the interpersonal skills to negotiate professional interactions in a diverse environment; and 5) the willingness to work hard in the pursuit of shared goals.

    HOW TO APPLY

    Interested candidates should send an email to aaron.diaz[at]ucsf.edu, with the following:
    • CV
    • Cover letter, please indicate your preferred start date.
    • Names and contacts of three references

    BACKGROUND

    Professor Pandurangan Vijayanand's laboratory (www.lji.org/labs/vijayanand/) at the La Jolla Institute for Immunology (LJI) in San Diego is seeking a number of highly motivated postdoctoral candidates for positions in immunology, genomics and computational biology. The Vijayanand lab employs genomic tools, genetics and computational approaches to understand the immunological basis of human diseases.

    LOCALE

    The Institute hosts 20 world-renowned faculty and over 200 postdoctoral researchers hailing from 37+ different countries. LJI is located in the Science Research Park on the campus of UC San Diego, with easy access to the San Diego life sciences community and all that the area has to offer.

    COMPENSATION

    To be determined based on experience. Full-time employment at LJI includes a competitive salary, medical/dental/vision benefits, paid vacation/sick leave, and contributions to a retirement plan (403B).

    HOW TO APPLY

    Please review the following papers, and respond with your interest and CV to Research and Administrative Assistant Claire Roney (croney[at]lji.org) IN ADDITION TO completing the online application here: us59.dayforcehcm.com/Cand[...]w/457.

    Publications to Review:
    a. Kusnadi A, et al. Severely ill COVID-19 patients display impaired exhaustion features in SARS-CoV-2-reactive CD8+ T cells. Sci Immunol. 2021. PMID: 33478949.
    b. Meckiff BJ, et al. Imbalance of Regulatory and Cytotoxic SARS-CoV-2-Reactive CD4+ T Cells in COVID-19. Cell. 2020. PMID: 33096020.
    c. Chandra V, et al. Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants. Nat Genet. 2021. PMID: 33349701.
    d. Seumois G, et al. Single-cell transcriptomic analysis of allergen-specific T cells in allergy and asthma. Sci Immunol. 2020. PMID: 32532832.
    e. Clarke J, et al. Single-cell transcriptomic analysis of tissue-resident memory T cells in human lung cancer. J Exp Med. 2019. PMID:31227543.
    f. Benjamin J. Schmiedel, et al. Impact of genetic polymorphisms on human immune cell gene expression. Cell. 2018 PMID: 30449622

    DEADLINE

    June 7, 2021

    *** APPLY HERE: us59.dayforcehcm.com/Cand[...]w/457 ***
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