Senior AI/ML Engineer – Life Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the planning and execution of highly intricate machine learning projects.

• Utilize advanced AI and ML algorithms on biological, genomic, clinical, and healthcare data in the realms of advanced cancer screening and precision oncology.

• Provide technical direction throughout the processes of ideation, design, implementation, and deployment.

• Develop insights regarding the capabilities of AI technology.

• Identify, refine, prioritize, and formalize the requirements for ML- and AI-driven solutions.

• Direct the design, implementation, and deployment of AI/ML software solutions.

• Establish an Agile framework to enable rapid iterative solutions.

• Assist in shaping Exact Sciences’ AI strategy for bioinformatics, biostatistics, and data science.

• Lead initiatives aimed at creating training resources, knowledge bases, and educational materials on advanced AI/ML technologies.

• Champion AI awareness in the fields of biostatistics, bioinformatics, and data science.

• Tackle complex challenges using advanced analytical judgment and innovative solutions.

• Mentor and guide junior team members.

• Serve as a subject matter expert in both core and cross-functional meetings.

• Contribute creative ideas to the intellectual property portfolio.

• Support the company's Quality Management System and uphold its mission and values.

⛳️ Requirements

• Ph.D. in Statistics, Computational Biology, Computer Science, or a related quantitative field, or a Master’s Degree in one of these areas combined with 4 years of pertinent experience.

• Over 5 years of experience in statistics, computational biology, applied mathematics, or a related quantitative domain.

• More than 5 years of experience with artificial intelligence and machine learning algorithms.

• Proven expertise in artificial neural networks, deep learning, and reinforcement learning.

• Proven expertise in AI/ML techniques in natural language processing, image processing and computer vision, or image and pattern recognition.

• Proven expertise in large language models for generative AI, transformer architecture, and retrieval augmented generation.

• Strong programming skills in Python and familiarity with one or more ML frameworks such as TensorFlow, PyTorch, or SKLearn.

• Knowledge and experience with open-source AI models.

• Exceptional communication skills with the ability to articulate complex topics to diverse audiences.

• Capability to perform essential duties with or without accommodation.

• Authorization to work in the United States without the need for sponsorship.

• Preferred: Over 8 years of experience in the life sciences industry with biological data.

• Preferred: Over 8 years of industry experience in molecular diagnostics, ideally in cancer diagnostics.

• Preferred: Expertise in healthcare data mining.

• Preferred: Basic understanding of ML-Ops and ML model versioning and deployment.

• Preferred: Scientific knowledge of cancer biology.

• Ability to adhere to a designated schedule and maintain consistent, reliable attendance.

• Capability to work on a mobile device, tablet, or computer screen and type for approximately 85% of a typical working day.

• Willingness to travel 5% of working time, which may include overnight or weekend trips.

🏝️ Benefits

• Opportunity to work remotely under an individual office exception-approved arrangement.

• Travel required at 5% of working time.

• Equal Opportunity Employer.