Staff Computational Biologist

Freenome
Brisbane
Workplace: RemoteFull timeUSD 188,275 - 270,375 annuallyFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: phdSkills: ["Thought leadership","Cross-functional collaboration","Research planning","Scientific problem-solving","Modeling and analysis leadership"]

Drive cancer-focused computational genomics modeling by leading analysis and interpretation of molecular signatures and advancing statistical models for high-throughput assays. Execute rigorous analyses across data types including WGS/WGBS, targeted sequencing, RNA-seq, and protein quantitation, while solving complex problems in cell-free circulating nucleic acids and proteins. Partner with molecular and development teams to refine wet-lab experiments and turn models into clinic-ready products.

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FursaFursa
Freenome
Freenome
1 month ago

Staff Computational Biologist

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Last checked: 10 hours agoStatus: Live

Job Summary

Drive cancer-focused computational genomics modeling by leading analysis and interpretation of molecular signatures and advancing statistical models for high-throughput assays. Execute rigorous analyses across data types including WGS/WGBS, targeted sequencing, RNA-seq, and protein quantitation, while solving complex problems in cell-free circulating nucleic acids and proteins. Partner with molecular and development teams to refine wet-lab experiments and turn models into clinic-ready products.
Location: Brisbane
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Lead analysis and interpretation of cancer molecular signatures and stay current with the field.
  • •Develop models that characterize biological changes associated with cancer.
  • •Perform computational analyses on data from high-throughput molecular assays including WGS/WGBS, targeted sequencing, RNA-seq, and protein quantitation.
  • •Design statistical models to evaluate, characterize, and model these data types in the context of cancer biology and progression.
  • •Identify research hypotheses and execute research projects; partner with wet lab and development teams to turn models into products and support team growth.

Pay and Benefits

Salary: USD 188,275 - 270,375 annually
Perks:EquityAnnual BonusMedical

Key Requirements

  • •PhD (or equivalent) in a relevant quantitative field such as computational biology, cancer biology, statistics, or bioinformatics.
  • •At least 8 years post-PhD applying computational techniques to biological discovery and product development, preferably in cancer or diagnostics in an industry setting.
  • •Deep expertise in cancer and molecular biology, with demonstrated ability to apply it to computational biology and diagnostics problems.
  • •Extensive experience analyzing data and developing models for high-throughput quantitative genomics, epigenomics, transcriptomics, and proteomics technologies (e.g., Methyl-seq, ATAC-seq, RNA-seq, Hi-C, immunodetection).
  • •Proficiency in computational/programming skills, including Python packages (NumPy, Matplotlib, Pandas) and modeling tools (scikit-learn, TensorFlow, PyTorch) or equivalents in R or C/C++.
Experience:8+ yearsCancerDiagnosticsGenomicsEpigenomicsProteomicsMachine learning
Education:PhD / Doctorate
Skills:Thought leadershipCross-functional collaborationResearch planningScientific problem-solvingModeling and analysis leadership
Languages:English
Tech Stack:PythonNumPyMatplotlibPandasScikit-learnTensorFlowPyTorchRC/C++Whole genome sequencingWhole genome bisulfite sequencingTargeted sequencingRNA sequencingProtein quantitationMethyl-seqATAC-seqRNA-seqHi-CImmunodetection assays

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