Postdoctoral Associate | Metabolomics and Exposomics | Li Lab
About The Position
We are looking for a talented Postdoctoral Associate to conduct computational research in metabolomics and exposomics with the Li Lab. We are particularly interested in using metabolomic data as phenotypes to link diseases and chemical exposures, such as pharmaceuticals (Science 388 (6745): 356). The program is supported by a combination of experimental platforms, including cellular and population metabolomics, and innovative computational methods. Our lab has a large amount of in-house data and partnerships with academics and industry. This position offers an opportunity to significantly impact human health via large-scale data and models.
Requirements
- Recent PhD related to bioinformatics, chemistry or biology
- Solid programming skills in Python
- Track record of method innovations, and productivity supported by first-author publications in peer-reviewed journals
- Outstanding writing and communication skills, with an ability to work both independently and within collaborative teams productively
Nice To Haves
- Experience in metabolomics or exposomics as a plus but not necessity.
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What This Job Offers
Job Type
Full-time
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
