Senior AI/ML Engineer for Cancer Genomics & Healthcare

Abbott; San Diego (CA); On-site; USD 126,650 - 171,350; Full time

Job summary

Exact Sciences is seeking a Sr. Machine Learning Engineer to lead complex AI initiatives in cancer screening and precision oncology. You will guide ideation through deployment, shaping the strategic AI vision and partnering with biostatisticians, bioinformatics scientists, and data scientists.

The role emphasizes technical leadership, collaboration, and mentorship while applying deep ML knowledge to solve healthcare data challenges and improve patient outcomes.

Qualifications

• Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field or Master’s with 4+ years experience.
• 5+ years of experience in statistics, computational biology, applied mathematics or related field.
• 5+ years of experience with AI/ML algorithms.

Responsibilities

• Lead development of perspectives on technology affordability and applicability of AI advances.
• Identify, refine, and formalize ML/AI requirements for bioinformatics and data engineering applications.
• Collaborate with ML/AI engineers and software engineers to design and deploy ML/AI solutions.

Skills

Python

TensorFlow

PyTorch

SKLearn

AI/ML concepts

Communication skills

Leadership

Education

PhD or Master's + 4 years experience

Tools

TensorFlow

PyTorch

Open-source models

RAG

Job description

Exact Sciences is seeking a Sr. Machine Learning Engineer to lead complex AI initiatives in cancer screening and precision oncology. You will guide ideation through deployment, shaping the strategic AI vision and partnering with biostatisticians, bioinformatics scientists, and data scientists.

The role emphasizes technical leadership, collaboration, and mentorship while applying deep ML knowledge to solve healthcare data challenges and improve patient outcomes.