Staff Computational Biologist

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🏄 California – Remote

🏄 California – Remote

💵 $188.3k - $270.4k / year

⏰ Full Time

🔴 Lead

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Freenome

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🧬 Biotechnology

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

💰 $290M Corporate Round on 2022-01

Biotechnology • Artificial Intelligence • Healthcare Insurance

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

• Serve as a key thought-leader on the Computational Science team, leading the analysis and interpretation of cancer's molecular signatures and staying current with the field. • Guide and contribute to the development of models that characterize biological changes associated with cancer. • Execute rigorous computational analyses on data from best-in-class molecular assays, including whole genome sequencing, whole genome bisulfite sequencing, targeted sequencing, RNA sequencing, and protein quantitation. • Design novel statistical models for the evaluation, characterization, and modeling of these data types within the context of cancer biology and progression. • Identify research hypotheses and potential areas for model improvement; plan, scope, and execute associated research projects with a skilled team of computational biologists. • Solve complex analytical challenges inherent to the study of cell-free circulating nucleic acids and proteins. • Partner closely with molecular biologists to collaboratively refine wet lab experiments, and with development scientists to turn research models into products. • Support the professional development and career growth of talented, cross-functional computational biologists within your team.

🎯 Requirements

• PhD or equivalent experience in a relevant quantitative field (e.g., computational biology, cancer biology, statistics, bioinformatics). • At least 8 years of post-PhD experience applying computational techniques for biological discovery and product development, preferably in cancer or diagnostics within an industry setting. • Deep expertise in cancer and molecular biology, with a proven ability to leverage this knowledge for computational biology and diagnostics problems in cancer. • Extensive experience analyzing data and developing models for high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, proteomics, (e.g., Methyl-seq, ATAC-seq, RNA-seq, Hi-C, immunodetection assays). • Proficiency in computational and programming skills, including extensive experience with Python statistical packages (Numpy, Matplotlib, Pandas) and modeling packages (Scikit-learn, TensorFlow, PyTorch) or equivalents in languages like R or C/C++.

🏖️ Benefits

• You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.