Data Scientist - IDR/IDP Computational Biology (Remote)

Buck Institute for Research on Aging; Novato (CA); On-site; USD 80,000 - 130,000; Full time

Benefits offered by this job

Medical/dental/vision coverage

401(k) employer contribution

Paid parental leave

Student debt repayment option

Job summary

The Buck Institute for Research on Aging is seeking a Data Scientist or Postdoctoral Researcher to lead computational analyses of intrinsically disordered proteins and regions (IDPs/IDRs). The role focuses on integrating large-scale experimental measurements with modeling to understand how mutations and environment shape IDR states.

You will build reproducible pipelines, collaborate with experimental groups, and contribute to publications while working with both Buck and Stanford teams in a

Qualifications

• Ph.D. in computational biology, bioinformatics, biophysics, structural biology, computer science, statistics, applied mathematics, machine learning, or a related field.
• Strong programming skills in Python and experience with modern scientific computing tools.
• Familiarity with modern computational protein modeling, including protein language/foundation models, generative protein modeling, and conformational-ensemble representations.
• Experience analyzing large, high-dimensional biological or biophysical datasets.
• Strong statistical and quantitative reasoning.
• Experience developing reproducible computational pipelines rather than relying exclusively on existing analysis packages.
• Ability to communicate closely with experimental scientists and translate biological questions into quantitative analyses.

Responsibilities

• Develop computational methods and pipelines to extract sequence-function relationships in IDRs
• Integrate complementary datasets including HDX-MS, interactomics, Cryo-EM structural measurements, and molecular-dynamics simulations
• Develop reproducible, version-controlled analysis pipelines and structured data products for modeling
• Perform statistical analysis, dimensionality reduction, clustering, representation learning, and other computational analyses of high-dimensional experimental datasets
• Develop visualization and reporting tools for large-scale IDR structural datasets
• Participate in experimental design and determine data/QC requirements needed for robust downstream analysis
• Contribute to publications, technical reports, milestone documentation, and open computational resources arising from the project

Skills

Python

Statistical analysis

Data visualization

Communication with experimentalists

Education

Ph.D. in computational biology or related field

Tools

MD trajectories

Cryo-EM data analysis

GPU computing

Job description

The Buck Institute for Research on Aging is seeking a Data Scientist or Postdoctoral Researcher to lead computational analyses of intrinsically disordered proteins and regions (IDPs/IDRs). The role focuses on integrating large-scale experimental measurements with modeling to understand how mutations and environment shape IDR states.

You will build reproducible pipelines, collaborate with experimental groups, and contribute to publications while working with both Buck and Stanford teams in a