Postdoctoral Fellow, Computational Biology of Aging

Postdoctoral Fellow, Computational Biology of Aging 

BIOAGE (Richmond, CA) is looking for a highly motivated, independent and creative researcher for a postdoctoral training position focused on developing and applying techniques in bioinformatics and machine learning to elucidate fundamental drivers of human aging. The major research focus will be the discovery and investigation of biological pathways, biomarkers, and drug targets related to biological aging, healthspan, and lifespan in humans using unique human aging datasets generated by BIOAGE and our partners. A key focus for this position will be timely publication of results in high impact journals, after filing patent applications where appropriate. A secondary component will be work on proprietary company material which may be too confidential for publication -- a potential split would be a 25% focus on proprietary work and a 75% focus on work destined for publication. 

We have substantial resources to support postdoctoral research and publication, including: 

• Unique proteomic, metabolomic, and transcriptomic datasets derived from prospective human aging cohorts. These cohorts have banked biospecimens and decades of longitudinal follow-up tracking diverse disease, healthspan, and lifespan outcomes.  
• Integrated access to a variety of other public, protected access, and proprietary molecular datasets as part of our comprehensive data platform.
• Over two dozen PhD and MD-level researchers in-house or in close contact, with interdisciplinary expertise including: 
  • bioinformatics, machine learning, statistics, molecular epidemiology
  • aging biology, biomarker discovery, drug discovery/development
• Research collaborations and other relationships with high-profile academic aging labs
• Weekly research meetings with presentation and critiques of published papers
• Quarterly guest speakers from outside academic institutions​

Candidates should have a PhD in computational biology or a related discipline, and a strong background in bioinformatics, machine learning, and statistics, as well as an interest in the biological processes that drive aging. Additional knowledge in aging biology, molecular biology, biochemistry, medicine, epidemiology, and/or drug discovery will be highly valuable. Experience working with and integrating proteomic, metabolomic, transcriptomic, genomic, and/or methylation data is also an asset. 

This position will be available for a term of up to 4 years and will have a primary supervisor, as well as one or more secondary supervisors with complementary areas of expertise, to ensure the fellow is well supported in doing high impact research. Salary and benefits will be competitive. Financial support is available to attend one or more academic meetings in order to present research. BIOAGE is located in the San Francisco Bay area, 10 minutes north of Berkeley. We are in close physical proximity to the Buck Institute for Research on Aging, UCSF, and Stanford. 

Additional Company Background:  BIOAGE is a biotechnology company that develops proprietary drugs to treat aging and aging-related diseases. We have raised $37M in venture capital funding from Andreessen Horowitz, Khosla Ventures, Felicis Ventures, and others to back our AI-driven approach to map the molecular pathways that impact human longevity. We are an interdisciplinary and experienced team of computational biologists, experimental scientists, and drug hunters. We have built a systems biology platform that leverages deep omics data we generate from unique human cohorts to identify drug targets that impact aging. We have also established proprietary in-house biology and in vivo screening capabilities to validate these new aging targets. Our mission is to develop a pipeline of therapeutic assets that increase healthspan and lifespan.