Staff Computational Biologist

Freenome

Staff Computational Biologist developing noninvasive cancer detection assays at Freenome. Leading NGS data analysis, bioinformatics pipelines, and multidisciplinary research for early cancer diagnostics.

Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesLead💰 $188,275 - $270,375 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in bioinformatics and computational biology, with a strong focus on developing and implementing NGS pipelines for cancer detection. Proven ability to lead multidisciplinary research projects and collaborate effectively with both computational and experimental scientists.

Highest-signal resume keywords

PhD In Computational BiologyNGS Assay DevelopmentPython ProgrammingData Analysis SkillsCancer Biology Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Bioinformatics PipelinesHigh-Throughput NGS Data ProcessingStatistical AnalysisMachine Learning AlgorithmsQuantitative Reasoning

Soft Skills

Excellent Communication SkillsCross-Functional Collaboration

Tools & Technologies

PythonNumpyMatplotlibPandasR

Industry Keywords

Cancer DetectionBiomarker DiscoveryLiquid BiopsyDNA MethylationChromatin Biology

Tech Stack

Tools & technologies

NumpyPandasPython

About the role

Key responsibilities & impact

Lead the analysis and interpretation of molecular and clinical data for early cancer detection
Serve as a key thought leader on the Computational Science team
Suggest research hypotheses and areas for computational model and assay improvement
Plan, scope, and execute research with a multidisciplinary team, owning projects from ideation through implementation
Develop bioinformatics pipelines for high-throughput NGS data processing and analysis
Collaborate with wet lab scientists to characterize and iterate on experimental methods
Provide real-time assessments of assay performance, quality control, and clinical/diagnostic utility
Collaborate with the larger team to advance next-generation assays for early cancer detection

Requirements

What you’ll need

PhD degree in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field
6+ years of scientific industry experience applying computational techniques to biological discovery and product development
Ideally, experience in cancer or diagnostics applications in industry
Extensive 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
Strong computational and programming skills
Thorough experience with Python statistical packages such as Numpy, Matplotlib, and Pandas, or equivalent languages such as R
Excellent oral and written communication skills
Ability to work cross-functionally 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, financial, and other benefits depending on the position offered
Hybrid or fully remote work arrangement