| Job description: This is an exciting growth opportunity for an individual who are interested in biostatistics and bioinformatics and would like to apply their programming skills on large-scale quantitative proteomics applications in the Li Lab at the University of Minnesota’s Medical School and the Graduate Neuroscience Program. Our expertise and research has been focused on applying cutting edge quantitative proteomics to identify novel mechanisms and biomarkers for precision and personalized treatment of neurodegenerative diseases. The individual will be aid in aspects of research planning, method development, sample preparation, data acquisition and data analyses using biostatistics and bioinformatics. Responsibilities - Conduct data analysis using biostatistics and bioinformatics tools according to previously published methods or novel methods developed as needed
- Synthesize data in easily readable format and prepare graphs, charts, tables and reports of data
- Write routine summary reports on results of work and confer with supervisors on interpretation of results and avenues of investigation
- Independently interpretate results based on knowledge of the field, gained by researching the relevant literature
- Review literature relating to research projects
- Assist in writing technical report of publication, reports, and research proposals
- Confer with other lab personnel in drafting work schedules and plans for execution of the more complex laboratory studies.
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 · 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-cslr-75100-ben-0105-7_cs_final.pdf | 
