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Buck Institute

Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab

novato, CA

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About this opportunity

Buck Institute lists this Bioinformatics & Data Scientist or Postdoctoral Researcher- Furman lab opportunity in novato, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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.

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

Perform bioinformatics and data science analyses. 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

Analyze, curate, and manage research data. 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

Collaborate with scientific and administrative teams. 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.

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Worksite address

novato, CA, 94949, US

Who can apply

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