The Department of Microbiology and Molecular Genetics of the Larner College of Medicine at the University of Vermont seeks a bioinformatician with experience in molecular biology, genomic data analysis, and programming for a full-time faculty position in primary bioinformatics core of the UVM Larner College of Medicine, the Bioinformatics Shared Resource. The position is a non-tenure track Faculty Scientist position. As a member of a shared resource the Faculty Scientist will support a wide range of internal and external funded research projects, for both individual researchers and large collaborations. Support will include consultation on experimental design, methods support and preliminary data analysis for grants, the design and implementation of genomics-based high-throughput sequencing data analyses pipelines, and secondary analysis of genomics data, including data visualization, and publication text. Integrative of multiple –omics data sets and translational bioinformatics will be required to support of some projects.
The Department of Microbiology and Molecular Genetics and the University of Vermont is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and/or service. Applicants are requested to include in their cover letter information about how they have worked toward diversity and inclusion in previous positions and will further this goal at the University of Vermont. The University of Vermont is an Affirmative Action/Equal Opportunity Employer; applications from women, veterans, individuals with disabilities, and people of diverse racial, ethnic, socioeconomic and cultural backgrounds are encouraged. Review of applications will begin immediately and continue until the position is filled.
Burlington is a New England university city situated on the shores of beautiful Lake Champlain to the west and bordered by the Green Mountains to the east, both of which offer easy access to year round outdoor recreational activities/sports. Burlington is within driving distance to major US and Canadian cities and was recently voted one of the top 10 most desirable cities in the US to raise children.
A qualified candidate for this position will
I. provide expertise and foster collaborative decision-making and research efforts around genomics data analysis methods and tools. Collaborative work may include integration of somatic and germline DNA, copy number, RNA-Seq, genomic “profiles,” metagenomics, etc. to support research needs. The candidate will participate in all levels of genomics data analysis, from data transfer, to summarization and reporting of results, and develop bioinformatics solutions for the analysis of complex, multi-resolution, multi-scalar, genomic datasets. Toward this effort, the candidate will use and develop analysis pipelines from in-house and open-source software and/or algorithms, and incorporate them into specialized analysis workflows, interact with investigators and management, and all levels of faculty and staff on current and future initiatives to ensure high-quality, high-impact decisions on technical/scientific solutions and innovative projects in the biological and translational research areas. (FTE = 60%)
II. prioritize, set and keep goals, work on multiple projects simultaneously, and adjust to changes in goals and expected outcomes as they arise. Towards this effort, the candidate must enjoy working in small groups, with a diverse array of client investigators, and in a service role. (FTE = 20%)
III. review both bioinformatics and substantive area literature to be able to effectively participate and contribute as a research team member to the research project as well as effectively contribute to the development of research reports, and grant and contract proposals. The candidate will be required to initiate efforts to obtain internal and external funding as a PI, Co-PI, Co-I or lead bioinformatician to support their own position or others in the shared resource. As part of this effort, the candidate may be asked to present to colleagues, provide workshops and tutorials, and guest lecture in a bioinformatics methodology course. (FTE = 20%)
Formal Educational Requirements
The minimum degree requirements are a PhD in bioinformatics or relevant basic science field and two or more years of experience in bioinformatics. Candidate will have expertise in high-throughput genomic data mining, analysis and management, plus a substantive background in biology and genomics. Candidate will have peer-reviewed publications for which their contribution included bioinformatics, and will be expected to continue to publications in that capacity. The role requires a high level of communication, interpersonal, and team-building skills, and will require grant writing. Familiarity with Bioconductor, RStudio as a programming platforms, and genomics analysis tools such as Ingenuity IPA, is desirable. Experience with workflow frameworks and cluster computing is a plus. They should be able to interact with the PIs to develop the scientific questions and experimental design for genomics projects, for example an RNA-Seq project, then take the raw data and provide subsequent analysis to find genes of interest using graphical (PCA, MDA) and statistical tools (DESeq2). Experience in clinical genomics and informatics is beneficial. Effective oral and written communication skills are required, and the candidate is expected to treat all investigators/clients/team members with dignity and respect. The candidate can expect to have appropriate performance feedback and career development opportunities and support, along with the tools they need to do their jobs.
Please prepare a detailed introductory cover letter summarizing your qualifications, expertise, and prior contribution to inclusive excellence, a curriculum vitae and a list of three references, and apply online at www.uvmjobs.com and reference position number 00023745. Please direct any questions regarding the application process to Barbara Drapelick, Business Administrator, Department of Microbiology and Molecular Genetics of the Larner College of Medicine at the University of Vermont (Barbara.Drapelick@uvm.edu).
www.uvmjobs.com and reference position number 00023745