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Job Summary

The Michigan Center for Translational Pathology (MCTP) is seeking a bioinformatician/computational biologist to work with our functional and clinical genomics research groups. This position will be centered on contributing advanced data analyses to interdisciplinary research projects, including: implementing algorithms for genomic analyses, developing computational workflows, and building visualization tools. As part of a dynamic team, the position will develop and apply advanced computational techniques to learn about the underlying biology and to guide experimental work.

The successful candidate should be comfortable analyzing large data sets, have experience in software development, and possess strong interpersonal and communication skills. The ideal candidate will use their computational skills, biological knowledge, understanding of statistics, and creativity to help us understand complex genomic data sets. Proficiency in utilizing and integrating data from an array of public resources such as ENCODE, TCGA or COSMIC and ability to synthesize and present conclusions from complex analyses in a clear and visually compelling way will be paramount for this role.

Required Qualifications*

  • Bachelor’s degree in computer science, a related field, or equivalent experience plus 3-5 years systems/analysis experience in a business environment for the Intermediate level, or 1-2 years systems/analysis experience in a business environment for the Associate level.
  • Fluency in understanding code written in multiple languages including C/C++, Java, Python and R.
  • Substantial expertise in one or more of Python, R, C/C++, or Java as demonstrated by the ability to develop high-quality scientific programs.
  • Practical knowledge of statistical techniques.
  • Experience in working on Unix/Linux systems (shell scripting, basic system administration)
  • Ability to multi-task, prioritize efforts, and execute independently- and collaboratively-developed ideas in a fast-paced environment.

Desired Qualifications*

  • Degrees in other quantitative disciplines such as statistics, physics, data science, will also be considered if they demonstrate experience in the analysis of large data sets.
  • Experience with next-gen sequencing data, including functional genomic assays (e.g. RNA-Seq, ChIP-seq, DNA methylation).
  • Experience with standard bioinformatics software tools and packages e.g. Bioconductor
  • Working knowledge of laboratory techniques in molecular biology, cell biology, biochemistry, and genetics.
  • A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms.
  • Experience building web applications, web services, and user interfaces using standard software development tools: relational databases, version control systems, front-end Javascript.
  • Experience in cloud computing (GCE or AWS)
  • A strong publication record.

Work Locations

5111 CCC

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Application Deadline

Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.