Not specified (assumed hybrid or flexible based on industry norms)
Advanced ai and machine learning algorithms
Biological, genomic, clinical and healthcare data
Python and machine learning frameworks
Exact Sciences Corporation is seeking a Senior Machine Learning Engineer to apply advanced AI and machine learning techniques in the fields of cancer diagnosis and treatment. The role emphasizes collaboration, innovation, and mentorship within a purpose-driven and inclusive culture
Job Summary
Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer.
This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage.
Matching Summary
Match Score: 85
Exact Sciences Corporation is seeking a Senior Machine Learning Engineer to apply advanced AI and machine learning techniques in the fields of cancer diagnosis and treatment. The role emphasizes collaboration, innovation, and mentorship within a purpose-driven and inclusive culture.
Salary
Base: $123,000- $209,000 (National); $152,000.00- $228,000.00 (California); Bonus/Equity: bonus eligible; Benefits: paid time off, paid leave for parents and caregivers, retirement savings plan, wellness support, health benefits
Skills & Requirements
Must-have
advanced AI and machine learning algorithms
biological, genomic, clinical and healthcare data
Python and machine learning frameworks
state-of-the art artificial intelligence and machine learning techniques
generative AI and associated concepts
Nice-to-have
life sciences industry experience
molecular diagnostics experience
ML-Ops and processes
cancer biology scientific understanding
Key Requirements
Ph.D. or Master's degree plus 4 years experience
3+ years of experience in quantitative field
3+ years of experience with AI/ML algorithms
Authorization to work in the United States without sponsorship