Staff Computational Biologist

🕒 August 6

🇺🇸 United States – Remote

💵 $188.3k - $270.4k / year

⏰ Full Time

🔴 Lead

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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

• 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

• Equity • Cash bonuses • Full range of medical, financial, and other benefits depending on the position offered • Hybrid or fully remote work arrangement

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