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.
- 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.
- 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 in cloud computing (GCE or AWS)
- A strong publication record.
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
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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.
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