Data Scientist, Ai Infrastructure and Agent (onsite)

Thermo Fisher Scientific • San Clemente, MD

1d • $88,000 - $116,000 • Onsite

About The Position

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.

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.

Requirements

• 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
• Bachelor’s Degree in Computer Science or a related field

Nice To Haves

• Exposure to AI/ML, Generative AI, LLMs, or RAG-based systems
• Familiarity with common ML or AI libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain)
• 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
• Master’s or higher degree is a plus but not required

Responsibilities

• 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.

Benefits

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level