[Remote] Staff Computational Biologist

Note: The job is a remote job and is open to candidates in USA. Freenome is a company dedicated to changing the landscape of cancer through computational science and diagnostics. The Staff Computational Biologist will lead computational analyses, statistical modeling, and research focused on cancer molecular signatures, collaborating with cross-functional teams to advance assays and products into clinical use. Responsibilities • 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 Skills • 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++ • Experience training, evaluating, or applying biological sequence models—specifically sequence-to-function models that learn and predict functional biology directly from raw DNA, RNA, or protein sequences • Experience developing or applying single-cell genomic or transcriptomic models to translate biological heterogeneity into generalizable regulatory or epigenomic signatures • Experience modeling cell-free DNA (cfDNA) signals specifically for early disease detection and diagnostic applications Benefits • Onsite, hybrid, or remote (US only) • Equity • Cash bonuses • A full range of medical, financial, and other benefits depending on the position offered Company Overview • Freenome is a biotechnology company developing blood tests for early cancer detection to improve access to routine screening. It was founded in 2014, and is headquartered in South San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://www.freenome.com. Company H1B Sponsorship • Freenome has a track record of offering H1B sponsorships, with 7 in 2025, 11 in 2024, 15 in 2023, 10 in 2022, 7 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.