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A Career That Advances Science and Saves Lives
Salary Range: $120,000–$204,000 | Permanent, Full-Time
In today’s rapidly evolving healthcare landscape, few opportunities offer the rare combination of scientific impact, technological innovation, and long-term career growth. The Senior Machine Learning Engineer position at Exact Sciences Corporation in Madison, Wisconsin, stands out as a role designed for professionals who want their expertise to make a meaningful impact. Here, advanced artificial intelligence is not an abstract concept—it is a powerful tool used to transform cancer prevention, early detection, and precision treatment.
Exact Sciences is globally recognized for its commitment to empowering patients and clinicians with clarity when decisions matter most. Joining this organization means contributing to solutions that directly influence patient outcomes while thriving in an inclusive, purpose-driven culture supported by comprehensive benefits. If you are seeking a senior-level role where your work has real-world consequences and strategic influence, this position deserves your full attention.
Position Overview: Leadership in Applied Artificial Intelligence
As a Senior Machine Learning Engineer, you will operate with a high degree of independence while collaborating with multidisciplinary experts across biostatistics, bioinformatics, data science, and software engineering. This role is inherently complex and intellectually demanding, calling for deep mastery of modern AI and machine learning methodologies applied to biological, genomic, clinical, and healthcare data.
You will contribute across the full solution lifecycle—ideation, system design, model development, implementation, and deployment—while helping shape the strategic direction of artificial intelligence initiatives within the organization. Your work will directly support Exact Sciences’ mission to eradicate cancer through prevention, early detection, and personalized treatment pathways.
Core Responsibilities: Driving Innovation with Precision
In this role, you are expected to serve as both a technical leader and a strategic thinker. Key responsibilities include:
- Maintaining deep expertise in one or more advanced AI and machine learning domains, while clearly communicating the relevance of emerging technologies to biostatistics, bioinformatics, and data science teams.
- Translating advances in AI into practical capabilities—identifying what new technologies make possible in terms of efficiency, accuracy, and insight.
- Partnering with stakeholders to define and refine requirements for AI-driven solutions, with a strong emphasis on bioinformatics, biostatistics, and data engineering.
- Designing, implementing, and deploying state-of-the-art ML and AI solutions in collaboration with engineers and cross-functional partners.
- Working within an Agile framework to deliver iterative, high-impact proof-of-concept solutions.
- Contributing to the development of an enterprise-wide AI strategy that leverages both in-house innovations and external tools.
- Supporting internal education initiatives by developing training resources, building knowledge bases, and promoting best practices in AI and ML.
- Mentoring junior team members and serving as a subject matter expert in both core and cross-functional forums.
- Exercising sound judgment and discretion in selecting methodologies, evaluation criteria, and analytical approaches.
- Upholding organizational values through accountability, integrity, innovation, quality, and teamwork.
This position also requires consistent attendance, effective communication of complex concepts to peer audiences, and the ability to work extensively with digital tools and computing environments.
Minimum Qualifications: Proven Expertise and Academic Rigor
To succeed in this role, candidates must demonstrate a strong academic foundation and applied experience in artificial intelligence and machine learning, including:
- A Ph.D. in Statistics, Computational Biology, Computer Science, or a closely related quantitative field, or a master’s degree plus four years of relevant experience.
- At least three years of professional experience in statistics, computational biology, applied mathematics, or a related quantitative discipline.
- Three or more years of hands-on experience with AI and machine learning algorithms.
- Advanced knowledge of neural networks, deep learning, reinforcement learning, and related methodologies.
- Practical experience applying AI techniques to natural language processing, image processing, computer vision, or pattern recognition.
- Demonstrated proficiency with large language models, transformer architectures, and retrieval-augmented generation.
- Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with open-source AI models and collaborative development practices.
- Authorization to work in the United States without sponsorship.
Preferred Qualifications: Industry Insight That Accelerates Impact
While not mandatory, the following qualifications will significantly strengthen your candidacy:
- Two or more years of experience working with biological data in the life sciences industry.
- Industry experience in molecular diagnostics, particularly cancer diagnostics.
- Expertise in data mining within healthcare environments using routinely collected clinical data.
- Foundational knowledge of MLOps practices, including model versioning and deployment.
- A solid scientific understanding of cancer biology.
Compensation and Benefits: Rewarding Excellence
The annual base salary for this full-time position ranges from $120,000 to $204,000, depending on experience and hiring location. In addition to base pay, this role is eligible for bonuses and may include company stock consideration at hire and annually.
Exact Sciences offers a comprehensive benefits package, including generous paid time off, parental and caregiver leave, retirement savings plans, wellness programs, and robust health coverage encompassing medical, prescription, dental, and vision benefits. The company is deeply committed to diversity, equity, and inclusion, fostering an environment where every employee can grow professionally and personally with respect and belonging.
Take the Next Step in a Meaningful Career
If you are a seasoned machine learning professional seeking more than just another technical role—if you want your expertise to contribute to life-changing medical advancements—this Senior Machine Learning Engineer position at Exact Sciences represents a compelling next step. The combination of cutting-edge AI, collaborative scientific work, and a mission centered on saving lives makes this opportunity both professionally and personally rewarding.
Explore this role today and position yourself at the forefront of innovation in precision oncology. Your next career move could help redefine how the world prevents and detects cancer—apply now and be part of something that truly matters.
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