Data Scientist, Ai Infrastructure and MCP; onsite

Work Schedule

Standard (Mon-Fri)

Office

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies, or increasing productivity in their laboratories, we are here to support them.

This is an onsite position that can be hired in Grand Island, NY, Carlsbad, CA or Hunt Valley, MD. Location near these 3 sites is required. Relocation assistance is not provided.

We are seeking a highly motivated Data Scientist with strong hands‑on expertise in AI/ML & LLM technologies. In this role, you will be part of the Data Science team within the Biologicals and Chemicals Division, one of the fastest‑growing businesses in the company supporting developers and manufacturers of biological‑based therapeutics and vaccines. With our portfolio of best‑in‑class digital and bioprocessing products, we empower innovation from early discovery through large‑scale commercial manufacturing.

• Design, develop, and maintain backend services and AI‑enabled applications that support scientific and bioprocessing workflows.
• Develop and optimize retrieval components (e.g., embeddings, document indexing, vector search) used in RAG‑based applications.
• Support integration and access to scientific and operational databases through well‑defined APIs and backend services.
• Package internal tools, data pipelines, and workflows as reusable AI‑enabled components or agents that can be executed within orchestration or workflow frameworks.
• Collaborate closely with scientists, data engineers, and platform teams to gather requirements, define technical specifications, and deliver reliable, production‑ready solutions.
• Create clear technical documentation and usage guides to support internal adoption and long‑term maintainability.

• Build and evolve scalable LLM inference, agent execution, or orchestration services (e.g., MCP‑style patterns) in production environments.
• Participate in experimentation, evaluation, and optimization of AI/ML or LLM‑based approaches.
• Implement tooling and automation for monitoring, testing, and operational support of backend services.
• Stay current with emerging AI/ML and LLM technologies and contribute ideas for future platform or capability enhancements.

• Bachelor’s Degree in Computer Science or a related field
• Master’s or higher degree is a plus but not required

• 2+ years of professional software engineering experience building backend or data‑driven applications
• Proficiency in Python and experience developing APIs, services, or microservices
• Solid understanding of data fundamentals, including data preprocessing, structured data handling, and data quality considerations
• Strong analytical, problem‑solving, and debugging skills
• Ability to work independently and collaboratively in cross‑functional engineering and scientific teams

• Exposure to AI/ML, Generative AI, LLMs, or RAG‑based systems
• Familiarity with common ML or AI libraries and frameworks (e.g., PyTorch, Tensor Flow, Hugging Face, Lang Chain)
• Experience with data pipelines or distributed systems

• Experience with vector databases or embedding‑based retrieval systems
• Exposure to cloud‑based development or deployment (preferably AWS)
• Familiarity with agent‑based systems, orchestration frameworks, or model deployment and monitoring concepts
• Curiosity and enthusiasm for learning and applying emerging AI/ML and LLM technologies

The salary range estimated for this position based in New York is $88,000.00–$.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.

We offer a comprehensive Total Rewards package that our U.S.…