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Computational Biologist
FreenomeComputational Biologist developing noninvasive cancer detection assays at Freenome. Analyzing molecular data, building NGS pipelines, and advancing cfDNA-based diagnostic products.
Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $131,325 - $189,525 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in bioinformatics pipeline development and high-throughput NGS data processing, with strong quantitative reasoning and data analysis skills. Collaborates effectively with multidisciplinary teams to advance cancer detection methodologies.
Highest-signal resume keywords
PhD In Computational BiologyNGS Assay DevelopmentBioinformatics Pipeline DevelopmentPython Statistical PackagesQuantitative Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
BioinformaticsNGS Data ProcessingStatistical AnalysisMachine Learning AlgorithmsWorkflow ImplementationData AnalysisComputational BiologyAssay ImprovementQuantitative ReasoningExperimental Methods
Soft Skills
Communication SkillsTeam CollaborationLeadership
Tools & Technologies
PythonNumPyMatplotlibPandasR
Industry Keywords
Molecular OncologyCancer DetectionChromatin BiologyLiquid BiopsyDNA MethylationBiomarker Discovery
Tech Stack
Tools & technologiesNumpyPandasPython
About the role
Key responsibilities & impact- Lead the analysis and interpretation of molecular and clinical data for early cancer detection, serving as a thought leader on the Computational Science team
- Suggest research hypotheses and areas for computational model and assay improvement, then plan, scope, and execute related research with a multidisciplinary team
- Develop bioinformatics pipelines for high-throughput NGS data processing and analysis
- Collaborate with wet-lab scientists to characterize and iterate on experimental methods through real-time assessments of assay performance, quality control, and clinical/diagnostic utility
- Stay current with molecular oncology techniques and collaborate on the next generation of assays for early cancer detection
Requirements
What you’ll need- PhD degree in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field
- Experience in NGS assay and pipeline development
- Demonstrated track record implementing complex workflows for high-throughput NGS data processing
- Strong quantitative reasoning and data analysis skills applied to relevant scientific problems
- Strong computational and programming skills, including thorough experience with Python statistical packages (NumPy, Matplotlib, Pandas) or equivalent languages such as R
- Excellent oral and written communication skills for scientific and broader audiences
- Ability to work on a cross-functional team with computational and experimental scientists
- Nice to have: expert knowledge of chromatin biology, liquid biopsy, DNA methylation, and cancer early detection
- Nice to have: extensive experience with DNA methylation data for biomarker discovery research
- Nice to have: experience developing, applying, and evaluating statistical and/or machine learning algorithms
Benefits
Comp & perks- Equity
- Cash bonuses
- Full range of medical benefits
- Full range of financial benefits
- Other benefits depending on the position offered