How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Kidd Lab at the University of Michigan is seeking a skilled analyst/programmer interested making original contributions to a diverse set of scientific projects in a cutting-edge genomics laboratory. The primary duties of the applicant will be to design and implement pipelines for acquiring and managing genomic data, applying and extending existing analysis procedures to new data sets, installing and debugging software applications, and managing large-scale data sets. Research topics are related to somatic mosaicism, genome mutation, neuropsychiatric disease, and other aspects of genome biology. This position requires an individual capable of communicating with students and researchers, handling and prioritizing tasks across multiple projects, and working independently on critical tasks. The applicant must have excellent written and oral communication skills, strong analytical skills, excellent judgment, and the ability to work under deadlines with general guidance. Successful applicants will have the opportunity to take on a leading role in designing and executing analysis of large-scale, NIH-funded genomics datasets using cloud-computer (AWS) and other resources.
- Analysis of next-generation sequencing data such as that produced by Illumina/ sequencers
- Installation and execution of established analysis pipelines for the identification of genome variants including SNPs, indels, structural rearrangements, and mobile element insertions
- Development and management of scripts/programs for the processing of genomic data, including quality control and data assurance
- Maintenance of genomic databases and reference sets
- Implementation of genomics pipelines in a cloud-computing environment (such as Amazon/AWS)
- Analysis of data and results, communication with external collaborators, and contributions to the preparation of manuscripts, grants, and presentations
BA/BS in computer science, bioinformatics, or a related field and experience working as computational genomics researcher or BA/BS in biology, genetics, molecular biology, biochemistry, or a related field and 2-3 years' experience working in computational genomics and demonstrated expertise in bioinformatics. Experience with Unix/Linux and working with large datasets in a cluster-computing environment using job schedulers such as SGE or PBS is required. A working knowledge of basic principles of genetics/genomics such as gene structure, gene transcription, and the processes of DNA sequencing as demonstrated by education or experience is required. Experience with a language such as Python or Perl and knowledge of another language such as C/C++ or Java. Experience with short-read sequencing data such as produced by Illumina sequencers is required, as is experience with manipulating SAM/BAM files, identifying variants, and evaluating call sets. A critical qualification is a strong desire to contribute to a cutting-edge research program that combines computational approaches with genomics data to gain insights into the basic biology of genomes and the genetic basis of phenotypic variation.
Ann Arbor Campus
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The University of Michigan is an equal opportunity/affirmative action employer.