Buck Institute for Research on Aging
live better longer
The Schilling Laboratory at the Buck Institute for Research on Aging is seeking a Postdoctoral Researcher to participate in innovative research aimed at understanding the biological and chemical processes that are common to both age-related diseases and aging. For this position there will be a particular emphasis on aging and age-related disease samples using proteomic workflows to decipher mechanisms as well as discover potential biomarkers. The qualified applicant will work with cutting-edge technologies and instrumentation in liquid chromatography-mass spectrometry. Located in Novato, California, 30 miles north of San Francisco, the Buck Institute offers a rich scientific environment with renowned scientists in the field of aging research.
COMPENSATION & BENEFITS
- Exciting, collaborative work environment at the forefront of science using state-of-the-art techniques.
- The starting salary for a new postdoc at the Buck is $68,000 IN 2023, with a range up to $82,000 commensurate with postdoc level & experience.
- Generous benefits package including health insurance, paid parental leave, vacation/sick and 401(k) with 5% employer match.
- Work visa sponsorship available for qualified candidates.
- Aging and age-related disease research – proteomic analysis of human tissues during the aging process, cancer tissues, Alzheimer’s disease tissues, and biofluids. The project will be embedded in a large collaborative effort at the Buck Institute and with outside collaborators.
- Discovery proteomics, protein quantification.
- Mass spectrometry (MS), modern instrumentation, technology development.
- Biomarkers of Aging
- Cancer Biomarkers – Extracellular Matrix
- Many other projects are available in the laboratory that are directly related to neurodegenerative diseases, proteostasis, kidney injury metabolism, and the role of sirtuins.
- PhD in Chemistry, Biology, or other related fields
- Experience in independently operating MS instrumentation
- Enthusiasm to work on relevant disease-related projects with precious sample sets (human)
- Experience in Data Processing