Computational Biologist I
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Job Description
Computational Biologist developing Freenome’s multiomics, blood-based cancer screening assays. Applying bioinformatics and statistics to diagnostic development and FDA-regulated validation.
Responsibilities:
- 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:
- 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:
- Equity
- Cash bonuses
- Full range of medical, financial, and other benefits depending on the position offered
- Equal-opportunity employer and diversity-valued workplace
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