Staff Machine Learning and Bioinformatics Scientist – Multi-Cancer Early Detection

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the creation of innovative statistical and machine learning techniques for detecting cancer signals within multi-modal genomic data.

• Develop interpretable, well-calibrated models that include uncertainty estimation and ensure reproducibility.

• Prototype, evaluate, and implement machine learning models utilizing scalable infrastructure.

• Take ownership of key technical deliverables and contribute to shaping the team's research agenda.

• Work collaboratively with molecular biologists and clinical experts on experimental designs and validation studies.

• Conduct code and design reviews across various projects.

• Translate intricate results for both technical and non-technical stakeholders.

• Mentor junior scientists and foster a culture of scientific excellence.

⛳️ Requirements

• Doctorate in Computer Science, Mathematics, Bioinformatics, or a related quantitative discipline.

• 6 to 12 years of experience following the completion of your PhD.

• Practical experience in developing innovative statistical and machine learning analysis methods tailored for complex biological data.

• Established history of innovation and technical leadership in intricate method development initiatives.

• Proficiency in deep learning and multimodal foundational models.

• Strong skills in Python and its scientific computing ecosystem.

• Commitment to scientific rigor throughout the research and development process.

• Willingness to teach and learn new computational techniques and biological concepts.

• Exceptional communication abilities and a collaborative mindset across teams.

• Preferred: Knowledge of DNA methylation and other forms of epigenomic data.

• Preferred: Experience with cell-free DNA and liquid biopsy samples.

• Preferred: Background in cancer genomics and diagnostics.

• Preferred: Practical experience with multimodal foundational models applied to biological datasets.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans for eligible employees and their dependents.

• Complimentary testing for employees and their immediate family members.

• Fertility care benefits.

• Leave for pregnancy and baby bonding.

• 401k retirement plan benefits.

• Commuter benefits.

• Employee referral program.