The Buck Institute for Research on Aging is seeking a full-time Bioinformatics and Data Scientist or Postdoctoral Researcher to join a collaborative research team focused on aging, multi-omics, computational biology, and translational data science.
This position offers a unique opportunity to work in an academic research environment with a close-knit, interdisciplinary team while collaborating with leading experts in aging biology, bioinformatics, clinical research, and computational science. The successful candidate will contribute to a five-year government-funded project focused on advancing computational and multi-omics approaches to better understand human aging, biological resilience, and healthspan. This role will support broader nationwide efforts to develop data-driven approaches that may ultimately improve how aging and age-related disease risk are measured, modeled, and addressed.
The ideal candidate will have strong experience in bioinformatics, statistics, computational biology, human omics data analysis, and scientific communication. The position is well suited for an independent, highly motivated scientist who enjoys working across disciplines and contributing to both discovery-driven and translational research.Key Responsibilities 1. Perform bioinformatics and data science analyses. The successful candidate will analyze diverse biological and clinical datasets, including but not limited to:
Proteomics
Metabolomics
Methylomics
Survey data
Integrative multi-omics datasets
Human biological aging and omics-clock data
Drug repurposing analyses
Enrichment and pathway analyses
Dimensionality reduction and clustering
Classification methods, including random forests and support vector machines
Neural network-based approaches
Simple and multiple linear regression
Parametric and non-parametric statistical analyses
2. Analyze, curate, and manage research data Responsibilities will include:
Curating, organizing, and preparing data for analysis and upload to central repositories
Supporting data harmonization across projects, cohorts, and collaborators in accordance with data use agreements
Reviewing and improving standard operating procedures for data transfer, quality control, and management
Coordinating with internal and external teams to ensure timely collection, transfer, and analysis of data
Attending project meetings and contributing to improvements in data workflows, systems, and documentation
Ensuring data quality, reproducibility, and compliance with project requirements
3. Collaborate with scientific and administrative teams The candidate will work closely with staff members, research scientists, computational biologists, principal investigators, and external collaborators. Responsibilities may include:
Contributing to grant applications, progress reports, and scientific proposals
Supporting manuscript preparation and journal article writing
Creating publication-quality figures, tables, and data visualizations
Presenting analyses and findings to interdisciplinary research teams
Helping translate complex computational results into clear biological and scientific interpretations
Qualifications Required Education and Experience
Strong background in both human biology and bioinformatics
PhD in Computational Biology, Bioinformatics, Data Science, Biostatistics, Systems Biology, Computer Science, or a related field
Minimum of 2 years of professional experience in a biological, biomedical, or computational research environment
Strong proficiency in R, Python, and Bash scripting
Demonstrated experience analyzing biological or biomedical datasets
Experience developing, implementing, and running bioinformatics workflows
Required Skills
Strong analytical, mathematical, and creative problem-solving skills
Excellent written and oral communication skills
Ability to work both independently and collaboratively in a team-based research environment
Strong organizational skills and attention to detail
Ability to prioritize and execute multiple tasks across concurrent projects
Experience with reproducible data analysis practices and documentation
Ability to communicate technical results to both computational and non-computational audiences
Interest in applying large language models, agentic AI, or related computational tools to biomedical research workflows
Preferred Qualifications
Experience with FDA approval process
Experience with building apps
Compensation and Benefits
Salary range: $80,000–$85,000, commensurate with experience
Full-time, onsite position
Exciting, collaborative work environment at the forefront of aging research
Opportunity to work with state-of-the-art technologies and interdisciplinary scientific teams
Generous benefits package, including:
Health insurance
Paid parental leave
Generous paid time off
401(k) with 5% employer match
Work visa sponsorship available for qualified candidates
About the Buck Institute Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age.
The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging — the number one risk factor for diseases including Alzheimer’s disease, Parkinson’s disease, cancer, macular degeneration, heart disease, and diabetes — the Buck seeks to help people live better longer.
We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.To Apply Interested candidates should click the Apply button to complete the online application. Please upload both:
Your CV
A brief statement of research interests, including the names and contact information for three references.