Position Description: The Michigan Center for Translational Pathology (MCTP) at the University of Michigan is seeking a Bioinformatics Scientist 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 bioinformatics scientist 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.
The ideal candidate should hold a degree in bioinformatics, computational biology, biophysics, or have equivalent work experience. Candidates with 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. The successful candidate should have the ability to multi-task, prioritize efforts, and execute independently and collaboratively developed ideas in a fast-paced environment.
1.Demonstrated 3+ years’ experience in the analysis of large data sets.
2.Fluency in understanding code written in multiple languages including C/C++, Java, Python and R.
3.Substantial expertise in one or more of Python, R, C/C++, or Java as demonstrated by the ability to develop high-quality scientific programs.
4.Practical knowledge of statistical techniques.
5.Experience in working on Unix/Linux systems (shell scripting, basic system administration
1.Experience with next-gen sequencing data, including functional genomic assays (e.g. RNA-Seq, ChIP-seq, DNA methylation).
2.Experience with standard bioinformatics software tools and packages e.g. Bioconductor
3.Working knowledge of laboratory techniques in molecular biology, cell biology, biochemistry, and genetics.
4.A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms.
6.Experience in cloud computing (GCE or AWS)
7.A strong publication record.
How to apply: Applicants should apply to posting 119562 on the University of Michigan jobs website: http://umjobs.org/
MCTP employs genomic, proteomic, and bioinformatic approaches on clinical biospecimens to identify novel cancer biomarkers and therapeutic targets. The mission of the Center is to facilitate the discovery, validation, and implementation of candidate target genes/proteins in cancer diagnosis, prognosis, and therapy. The Center employs a multidisciplinary approach, engaging talent from diverse disciplines ranging from medicine, pathology, bioinformatics, biostatistics, engineering, cytogenetics, and molecular therapeutics.