Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab

Position Summary

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.

• Perform bioinformatics and data science analyses of diverse biological and clinical datasets, including 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.
• Curate, organize, and prepare data for analysis and upload to central repositories.
• Support data harmonization across projects, cohorts, and collaborators in accordance with data use agreements.
• Review and improve standard operating procedures for data transfer, quality control, and management.
• Coordinate with internal and external teams to ensure timely collection, transfer, and analysis of data.
• Attend project meetings and contribute to improvements in data workflows, systems, and documentation.
• Ensure data quality, reproducibility, and compliance with project requirements.

• Contribute to grant applications, progress reports, and scientific proposals.
• Support manuscript preparation and journal article writing.
• Create publication‑quality figures, tables, and data visualizations.
• Present analyses and findings to interdisciplinary research teams.
• Translate complex computational results into clear biological and scientific interpretations.

• 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.
• Interest in applying large language models, agentic AI, or related computational tools to biomedical research workflows.

• Experience with FDA approval process.
• Experience with building apps.

• 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…