Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection)

For our client, we are seeking a Staff Machine Learning and Bioinformatics Scientist (Multi-Cancer Early Detection) to join the team of a leader in the Pharmaceuticals & Biotech space. This role will drive the development of advanced statistical and machine learning methods for early cancer signal detection within a highly collaborative research and development environment. The position blends scientific rigor, model innovation, and applied bioinformatics to support meaningful progress in complex biological data analysis. You will work closely with molecular biology and clinical partners to validate findings, improve interpretability, and translate technical results into clear insights for stakeholders. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $163,200 – $204,000 annually Responsibilities Lead the development of statistical and machine learning methods for cancer signal detection Build interpretable, well-calibrated models for uncertainty estimation and reproducibility Prototype, test, and productionize ML models using scalable infrastructure Own key technical deliverables and help shape the team's research roadmap Collaborate with molecular biologists and clinical experts on experiments and validation studies Conduct code and design reviews to maintain high standards Translate complex results into clear narratives for diverse audiences Mentor junior scientists and promote a culture of curiosity and scientific excellence Qualifications PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical and ML analysis methods for complex biological data Proven track record of innovation and technical leadership in method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Demonstrates scientific rigor throughout the R&D process, with a willingness to teach and learn Excellent communication skills and a collaborative approach across teams Benefits Comprehensive medical, dental, vision, life, and disability plans for employees and dependents Free testing for employees and their immediate families Fertility care benefits Pregnancy and baby bonding leave 401k benefits Commuter benefits Generous employee referral program Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.