Machine Learning Engineer

Machine Learning Engineer at Exact Sciences summary:

The Machine Learning Engineer applies advanced AI and machine learning techniques to solve complex problems in cancer detection, prevention, and treatment by leveraging biological, genomic, and clinical data. This role involves designing, implementing, and deploying AI solutions in collaboration with biostatisticians, bioinformatics scientists, and data scientists within an Agile framework. The position requires expertise in AI methodologies, programming, and a strong focus on precision oncology and healthcare data applications.

Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The Machine Learning Engineer, with moderate guidance from more experienced engineers, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. This role utilizes working 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.

This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This position contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and works as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.

Essential Duties

Include, but are not limited to, the following:

• Keep up with external and internal advances in AI technology.
• Collaborate with other ML/AI engineers and relevant partners to articulate “AI affordance”: what do the advances in AI technology allow us to do (or do more efficiently or effectively) that we couldn’t do before?
• Work with stakeholders to discover requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications.
• Collaborate with other ML/AI engineers and relevant partners to contribute to the design of software solutions that utilize state-of-the art artificial intelligence and machine learning techniques.
• Work with other AI and ML engineers and software engineers and contribute to the implementation and deployment of ML and AI solutions.
• Work in an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions.
• Contribute to the execution of an AI strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes.
• Contribute to internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them.
• Exercise judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results.
• Ability to clearly communicate, and to explain basic to intermediate topics to audiences of peers.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.
• Ability to work designated schedule.
• Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day.
• Ability to travel 5% of working time away from work location, may include overnight/weekend travel

Minimum Qualifications

• Ph.D. in…