Computational Biologist I

Freenome

. Plan and execute development experiments for Freenome’s multiomics cancer screening tests.

Posted 11/5/2026full-timeRemote • United StatesJuniorMid-Level💰 $131,325 - $189,525 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in experimental design and analysis for high-throughput genomic technologies, with a strong foundation in statistics and bioinformatics. Proficient in data analysis and visualization using R or Python, and experienced in cross-functional collaboration within regulated environments.

Highest-signal resume keywords

Post-Graduate Degree In StatisticsExperimental Design And AnalysisData Analysis And Visualization Using RBioinformatics Tools For Molecular AssaysExperience In Regulated Diagnostic Device Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Experimental DesignData AnalysisStatistical AnalysisHigh-Throughput TechnologiesGenomicsProteomicsBioinformaticsHypothesis TestingRegression TechniquesSimulation

Soft Skills

Excellent Communication SkillsAttention To DetailCross-Functional Team Collaboration

Tools & Technologies

R (Tidyverse)Python (Numpy, Matplotlib, Pandas)Version Control

Industry Keywords

Cancer ScreeningIVD ProductsCell-Free DNABiomarkersRegulated EnvironmentPMA510(k)CE-IVD

Tech Stack

Tools & technologies

NumpyPandasPython

About the role

Key responsibilities & impact

Plan and execute development experiments for Freenome’s multiomics cancer screening tests.
Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval.
Develop computational methods and interpret complex experimental results to optimize and validate technology for sample collection, preparation, and detection.
Develop and execute experimental design and analysis plans for Development, Verification, and Validation studies, partnering with Biostatistics, Development, and Pre-Analytics teams.
Work with molecular and computational research teams developing Freenome’s IVD products for blood-based molecular assays, including cell-free DNA, proteins, and additional biomarkers.
Contribute to the development and launch of cancer screening technologies.
Report to Aaron Richardson.

Requirements

What you’ll need

Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field.
2-3+ years of industry experience (for Sr. Scientist level)
Experience in experimental design and analysis of high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, or proteomics (e.g. target capture with UMI, Hi-C, ATAC-seq, RNA-seq, bisulfite sequencing, microarrays, mass spec, immunoassays).
Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays.
Experience in applied statistics, such as hypothesis testing, regression techniques, and appropriate use of simulation.
Expertise in data analysis and visualization using R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control.
Excellent oral and written communication skills with keen attention to detail.
Ability to work on a cross-functional team with computational and experimental scientists.
Experience in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) preferred (for Sr. Scientist level).

Benefits

Comp & perks

Equity
Cash bonuses
Full range of medical, financial, and other benefits depending on the position offered
Equal-opportunity employer and diversity-valued workplace