Bioinformatics Researcher (full-time)

Science Novato, California


Bioinformatics Researcher (full-time)


We are seeking a Bioinformatics Researcher to perform data analysis as part of the Buck Bioinformatics Core and manage data for the newly implemented Senescence Network (SenNet) platform. The Bioinformatics Core is a collaborative group of data analysis scientists who pool their knowledge and skills to provide cutting-edge services for internal and external researchers. Members have the opportunity to cross-train to improve their individual skills in data analysis and career development. The NIH has launched a program to study senescent cells which play positive and negative roles in biological processes. As part of the SenNet platform, the Buck Bioinformatics Core is the nucleating facility between the Biospecimen Core, Administrative Core and Bioanalysis Core of the U54 NIH longitudinal study of cellular senescence.

This is a full-time position.    


  • Perform data analysis as part of the Bioinformatics Core including:
    • Simple/Multiple Linear Regression
    • Parametric and Non-parametric Statistics
    • Classification Methods (random forest, SVM)
    • Neural Networks
    • Biological Aging Calculations (Omics Clocks)
    • Candidate gene studies and GWAS
    • Enrichment Analysis
    • Dimensionality Reduction
    • Omics Analysis (transcriptomics, proteomics, metabolomics)
    • Integrative Multi Omics
    • WGCNA
  • Analyze and curate data from the SenNet project:
    • Interact and coordinate between groups to ensure timely collection of data.
    • Curate and upload data samples to central repository.
    • Review and improve Standard Operating Procedures (SOP) for data transfer and management.
    • Attend meetings and collaborate with NIH SenNet groups to improve upon current systems.
  • Collaborate with staff members, research scientists and principle investigators.


Required Education & Experience

  • Master’s or PhD degree in Computation Biology, Bioinformatics or Data Science
  • Minimum of 2 years professional experience in a biological field
  • Proficient in R programming and Bash scripting

Other Skills

  • Outstanding analytical, mathematical, and creative problem-solving skills
  • Excellent listening, interpersonal, written, and oral communication skills
  • Logical and efficient, with keen attention to detail
  • Highly self-motivated and directed; works well independently and as a team
  • Ability to effectively prioritize and execute tasks while under pressure


  • Experience with Human data
  • Competitive salary ($75,000 - $100,000) commensurate with experience
  • Exciting, collaborative work environment at the forefront of science using state-of-the-art techniques
  • Generous benefits package including health insurance, paid parental leave, generous PTO and 401(k) with 5% employer match
  • Work visa sponsorship available for qualified candidates


Our success will ultimately change healthcare. At the Buck, 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. We are an independent, non-profit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, 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.


Interested candidates should click the Apply button to complete the online application. Please upload both your CV and a document that includes a brief statement of your interests plus the names/contact information for 3 references.