Bioinformatician-Computational Biologist Intermediate

ANN ARBOR, MIPosted 19 days ago

Job summary

• Job post source

  This job is directly from University of Michigan

• Job overview

  The Bioinformatician-Computational Biologist Intermediate at University of Michigan contributes to the Population, Neurodevelopment and Genetics Program by analyzing genomic and epigenomic data to understand biosocial processes affecting health across the life course.

• Responsibilities and impact

  The role involves performing epigenome- and genome-wide analyses, managing and documenting data workflows, conducting literature reviews, assisting in research project implementation, maintaining datasets, and training junior researchers.

• Compensation and benefits

  The position offers a comprehensive benefits package including generous time off, a retirement plan with two-for-one matching contributions, comprehensive health insurance options, life insurance, long-term disability coverage, and flexible spending accounts.

• Experience and skills

  Candidates must have a bachelor's degree in a relevant scientific field and two years of experience with bioinformatic data analysis, proficiency in R and command line programming, and strong documentation skills; a master's or Ph.D. and experience with epigenetic analysis are preferred.

• Career development

  Opportunities include learning novel genomic data analysis techniques and participating in training programs such as the Genomics for Social Scientists R25 course, supporting professional growth within interdisciplinary research projects.

• Work environment and culture

  The University of Michigan promotes a collaborative research environment within a multidisciplinary team focused on integrating social, genetic, and health sciences, with options for hybrid or remote work depending on department policies.

• Company information

  University of Michigan's Institute for Social Research hosts the Population, Neurodevelopment and Genetics Program, which integrates diverse disciplines to study health and wellbeing using large population-based genomic data.

• Team overview

  The candidate will join the PNG Program's Biodemography lab, working under senior researchers Drs. Colter Mitchell and Jessica Faul, in a growing team of scholars from various disciplines.

• Job location and travel

  The position is based at the University of Michigan with potential for hybrid or remote work arrangements subject to departmental discretion.

• Application process

  Applicants must submit a cover letter addressing their interest, skills, and research experience, attached as the first page of their resume or CV; the position is posted for a minimum of 14 days and includes background screening upon offer acceptance.

• Unique job features

  The job offers unique opportunities to work on large-scale population genomic studies integrating social and biological data, with responsibilities including developing reproducible analysis pipelines and contributing to interdisciplinary research publications.

Company overview

The University of Michigan is a renowned public research university located in Ann Arbor, Michigan. Established in 1817, it offers a wide range of undergraduate, graduate, and professional programs across various disciplines. The university generates revenue through tuition fees, research grants, public funding, and donations. Known for its strong emphasis on research and innovation, it has a rich history of academic excellence and is consistently ranked among the top universities globally.

How to land this job

• Position your resume to highlight your expertise in bioinformatics, especially your experience with omic data analysis in high-performance computing environments, as this is critical for the University of Michigan role.

• Emphasize your skills in epigenome- and genome-wide analyses, data management, reproducible analytic pipelines, and proficiency in R, Linux, and statistical modeling as outlined in the job description.

• Apply through multiple platforms including the University of Michigan’s official careers site, LinkedIn, and relevant academic job boards to maximize your chances of being noticed.

• Connect with current members of the Population, Neurodevelopment and Genetics Program or the Institute for Social Research on LinkedIn; start conversations by mentioning your interest in their interdisciplinary research or asking about recent projects involving epigenetic or genomic data.

• Optimize your resume for ATS by incorporating keywords such as 'epigenome-wide association studies', 'genome-wide association studies', 'reproducible analysis pipelines', 'R programming', 'Linux command line', and 'bioinformatics data management' to ensure your application passes initial screenings.

• Use Jennie Johnson’s Power Apply feature to automate tailored applications, identify the best job portals, and find relevant LinkedIn contacts, allowing you to focus your time on preparing for interviews and networking effectively.