Data Scientist, Ai Infrastructure and Agent (onsite)

Position Overview

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. We are seeking a highly motivated Data Scientist with strong hands-on expertise in AI/ML & LLM technologies, who will be part of the Data Science team within the Biologicals and Chemicals Division. Location: This is an onsite position in Grand Island, NY, Carlsbad, CA, or Hunt Valley, MD. Schedule: Standard (Mon-Fri). Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner, and safer.

Key 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 for orchestration or workflow frameworks.
• Collaborate closely with scientists, data engineers, and platform teams to gather requirements, define technical specifications, and deliver 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. (Optional / Career Growth)
• 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.

Required Qualifications

• Education: 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.

Preferred Qualifications

• 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.

Benefits & Perks

Compensation: The salary range estimated for this position based in New York is $88,000.00–$116,000.00. This position may also be eligible for a variable annual bonus based on company, team, and/or individual performance.

• 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.