Senior Applied AI/ML Engineer — Life Sciences Impact

TetraScience, Inc.; Cambridge (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

100% employer paid benefits

401K

Unlimited PTO

Life Insurance

Job summary

TetraScience, Inc. is seeking a senior AI/ML leader to design, develop, train and validate AI/ML products and to advise executives on feasibility. You will work with commercial teams to understand the impact of AI in life sciences and collaborate with cross-functional teams to build solutions.

The role requires an advanced degree and 10+ years of AI/ML development or 5+ years building tools for regulated life sciences. Expect significant onsite collaboration in the Boston region.

Qualifications

• Advanced degree in Biological, Data, or Computer Science.
• 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments.
• Portfolio demonstrating end-to-end ownership of AI/ML products.
• Proven track record of deploying AI models addressing real-world problems.
• Superior talent developing at least one of: ML reinforcement learning, fine tuning, or automated retraining; LLM agentic governance including guardrails and evaluations.

Responsibilities

• Design, develop, train, and validation of AI/ML products.
• Support and advise executive leadership regarding technical and commercial feasibility.
• Work with commercial teams to understand the impact of AI in life‑sciences.
• Collaborate with cross functional teams to build products.

Skills

AI/ML development

Product ownership

Model deployment

RL / fine-tuning / retraining

LLM governance

Education

Advanced degree in Biological, Data, or Computer Science

Job description

TetraScience, Inc. is seeking a senior AI/ML leader to design, develop, train and validate AI/ML products and to advise executives on feasibility. You will work with commercial teams to understand the impact of AI in life sciences and collaborate with cross-functional teams to build solutions.

The role requires an advanced degree and 10+ years of AI/ML development or 5+ years building tools for regulated life sciences. Expect significant onsite collaboration in the Boston region.