Staff Computational Biologist

Freenome
Anywhere
Workplace: RemoteFull timeUSD 188,275 - 270,375 annuallyFunction: Data Analytics & Business IntelligenceExperience: 6+ yearsEducation: phdSkills: ["Quantitative reasoning","Data analysis","Oral communication","Written communication","Cross-functional collaboration"]

Help grow Freenome’s Computational Biology, Assay Research team by developing early, noninvasive cancer detection tests using cfDNA. Lead analysis of molecular and clinical data, generate and execute research plans, and build bioinformatics pipelines for high-throughput NGS processing. Partner closely with wet-lab and cross-functional R&D teams to rapidly characterize assay performance, improve methods, and advance diagnostic assay feasibility.

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FursaFursa
Freenome
Freenome
3 days ago

Staff Computational Biologist

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Last checked: 3 hours agoStatus: Live

Job Summary

Help grow Freenome’s Computational Biology, Assay Research team by developing early, noninvasive cancer detection tests using cfDNA. Lead analysis of molecular and clinical data, generate and execute research plans, and build bioinformatics pipelines for high-throughput NGS processing. Partner closely with wet-lab and cross-functional R&D teams to rapidly characterize assay performance, improve methods, and advance diagnostic assay feasibility.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Lead analysis and interpretation of molecular and clinical data for early cancer detection.
  • •Suggest computational and assay improvement hypotheses; scope and execute research projects from ideation to implementation.
  • •Develop bioinformatics pipelines for high-throughput NGS data processing and analysis.
  • •Partner with wet-lab scientists to characterize and iterate on experimental methods using real-time assay performance and QC assessments.
  • •Stay current on oncology molecular techniques and collaborate to advance next-generation early detection assays.

Pay and Benefits

Salary: USD 188,275 - 270,375 annually
Equity and Bonus:Equity
Perks:EquityAnnual BonusMedical BenefitsFinancial Benefits

Key Requirements

  • •PhD degree in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field.
  • •6+ years of scientific industry experience applying computational techniques for biological discovery and product development, ideally in cancer or diagnostics.
  • •Extensive experience in NGS assay and pipeline development, including implementing complex workflows for high-throughput NGS processing.
  • •Strong quantitative reasoning and data analysis skills applied to relevant scientific problems.
  • •Strong computational and programming skills, including Python statistical packages (NumPy, Matplotlib, Pandas) or equivalent languages like R.
Experience:6+ yearsCancerDiagnosticsNGS
Education:PhD / Doctorate
Skills:Quantitative reasoningData analysisOral communicationWritten communicationCross-functional collaboration
Tech Stack:PythonNumPyMatplotlibPandasRNGSBioinformaticsCfDNA

Company Brief

Freenome
Develops blood-based early cancer detection tests by combining cell-free DNA analysis, genomics, and machine learning to identify cancer signals for screening and diagnosis, aiming to enable earlier, noninvasive detection across multiple cancer types.
Industry: Diagnostics
Company Size: Large (251 to 1,000 employees)
Growth: Growth Stage Startup
Headquarters: South San Francisco, United States
Founded: 2014
WebsiteLinkedIn