| About the Job
The candidate will be responsible for developing open-source software to analyze genetic data, specifically large deletions and duplications in the genome that can knock out entire genes. We will then apply this software to hundreds of thousands of human samples with genome-wide data to identify if these natural gene knockouts affect certain traits or the risk for specific disease outcomes. This position is in the laboratory of Dr. Nathan Pankratz within the Division of Computational Pathology at the University of Minnesota. The lab currently has seven full time software programmers and data analysts. Therefore, depending on interest and aptitude, additional specialization is possible in one of three areas: methods development, open-source software development, and/or application of these methods to existing data sets.
Responsibilities
• 60% time spent developing open-source software in Java that visualizes and analyzes genetic data. Analysis methods will either implement existing algorithms or will wrap around existing tools. An innovative candidate would also have the option of designing new algorithms.
• 20% time spent using new or existing software to run analyses to identify variation in the genome that leads to increased risk for various diseases. This will require the candidate to independently manage large data sets and maintain data and code that others will use as well.
• 20% time spent helping investigators to prepare reports, grant applications, manuscripts and presentations. The University of Minnesota offers a comprehensive benefits package including: · Competitive wages, paid holidays, vacation and sick leave · Low cost medical, dental, and pharmacy plans · Health care and dependent daycare flexible spending accounts · Excellent retirement plans with employer match · Disability and employer paid life insurance · Wellbeing program with reduced insurance premiums · Tuition reimbursement opportunities covering 75%-100% of eligible tuition · Student loan forgiveness opportunity · Opportunities for growth and promotion · Employee Assistance Program For more information regarding benefits: https://humanresources.umn.edu/sites/humanresources.umn.edu/files/2020_tcd-fpa-75100-ben-0105-10_cs_final.pdf | 
