Computational Biologist I

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $131.3k - $189.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Freenome

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🏥 Healthcare

🧬 Biotechnology

🤖 Artificial Intelligence

💰 $290M Corporate Round on 2022-01

Healthcare • Biotechnology • Artificial Intelligence

Freenome is a company focused on advancing early cancer detection through the integration of scientific innovation and artificial intelligence. Their platform uses multiomics technology to identify cancer at its most treatable stages, enabling early intervention. The company emphasizes a standard blood draw method for ease of use, aiming to redefine cancer screening. Freenome is driven by a robust clinical research program and is committed to discovering, developing, and validating early cancer detection tests, employing a multidisciplinary team dedicated to pushing the boundaries of what's possible in cancer diagnostics.

📋 Description

• 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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