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 safe.

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.