Sr Computational Biologist

The role focuses on building advanced algorithms and technical features within the Computational Discovery team. The position analyzes multi-modal datasets—genomics, clinical outcomes, and imaging—to identify novel biomarkers and therapeutic targets in cancer research.

Key Responsibilities

• Lead statistical investigations into oncogenesis mechanisms, biomarkers, drug resistance, and disease monitoring
• Maintain code repositories and ensure dataset quality control
• Serve as subject matter expert across departments to guide product strategy
• Collaborate on translational research yielding publications
• Communicate findings to technical and non-technical audiences

Required Qualifications

• PhD in life/mathematical sciences with 4+ years industry/postdoctoral experience; OR Master's degree with 6+ years industry experience (Cancer Biology, Bioinformatics, Biochemistry, or related field)
• Proficiency in Python, R, Matlab, or Java

Preferred Qualifications

• First-author publications demonstrating research experience
• Expertise in cancer genomics, bioinformatics, biostatistics, or machine learning
• NGS technology and biomarker development knowledge
• Familiarity with clinical nomenclature and oncology patient pathways
• SQL, AWS, or AI/deep learning experience
• Stakeholder management and mentoring capabilities
• HIPAA and data privacy understanding