The Li Lab at the University of Minnesota’s Medical School utilizes cutting-edge technologies including proteomics to identify therapeutic targets and biomarkers for aging and neurodegenerative diseases. The Li Lab has a postdoctoral associate position open immediately who will work on various mass spectrometry-based projects such as targeted detection of proteins involved in neurodegenerative diseases and aging for the development of biomarkers.
Conduct investigations or experiments in an assigned area to aid in the solution of a research problem.
Set up and operate equipment used in collecting research data.
Calculate and analyze data.
Select and review literature relating to the assigned area.
Actively participate in research efforts by exploring new possible approaches to problems and discuss possible approaches to problems with supervisor.
Write routine summary reports on results of work and confer with supervisor on interpretation of results and avenues of investigation.
Write manuscripts as author and/or co-author for publication
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://policy.umn.edu/sites/policy.umn.edu/files/appendix/postdocappoint_appa.pdf
Experiences in molecular biology, biochemistry or analytical chemistry
Basic understanding of statistics
PhD or equivalent degree
Experience in operating mass spectrometry instruments
Experience in sample preparation for mass spectrometry-based proteomics
Good understanding of statistics
Experience with statistical software
Experience with bioinformatics tools for proteomics data analysis
Strong publication record
Internal Number: 335504
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.