Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab

Buck Institute•Novato, CA

3d•$80,000 - $85,000•Onsite

About The Position

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.

Requirements

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
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

Nice To Haves

Experience with FDA approval process
Experience with building apps
Interest in applying large language models, agentic AI, or related computational tools to biomedical research workflows

Responsibilities

Perform bioinformatics and data science analyses, including analysis of 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 (random forests, support vector machines, neural network-based approaches), simple and multiple linear regression, and parametric and non-parametric statistical analyses.
Analyze, curate, and manage research data, including curating, organizing, and preparing data for analysis and upload to central repositories; supporting data harmonization across projects, cohorts, and collaborators; reviewing and improving standard operating procedures for data transfer, quality control, and management; coordinating with internal and external teams for timely data collection, transfer, and analysis; attending project meetings and contributing to improvements in data workflows, systems, and documentation; ensuring data quality, reproducibility, and compliance with project requirements.
Collaborate with scientific and administrative teams, including 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.