GENETICS & GENOMICS PROGRAMMER AND DATA, School of Medicine, Genetics, Molecules

In a highly collaborative environment, the successful applicant will:

• Implement various computational frameworks/analysis strategies for multiple ongoing and emerging genetics and genomics projects in Alzheimer disease, substance use disorders, and age-related macular degeneration involving high-throughput, next generation sequencing (NGS) datasets (e.g. DNA-genome, transcriptomic, epigenomic, and proteomics data).
• Direct the development and maintenance of genome-wide association and genomic analysis pipelines and the implementation of various analysis strategies.
• Under the guidance of a faculty supervisor, carry out risk prediction analyses utilizing genetic, clinical, demographic, and other risk factor data.
• Respond to requests for analysis from faculty, postdocs, and collaborators; and collaborate with them in interpretation of data, and in the preparation of manuscripts, grants, and presentations.
• Train students, postdocs and faculty in pipeline use; and test and utilize new software and tools, modifying them as needed to adapt to specific research needs.
• Prepare tables and figures for manuscripts that report results from data analyses.

Strong programming and analytic skills in R and Python or Perl, strong scientific writing skills, and three years relevant work or graduate education experience.

Biological/Statistical knowledge preferred but not required.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison.

The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.