Data Scientist, Ai Infrastructure and MCP

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. Core 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. Extended Responsibilities (Optional / Career Growth) + 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. Education - Bachelor's Degree in Computer Science or a related field - Master's or higher degree is a plus but not required Experience & Qualifications Must Have + 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 Nice to Have + 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 Preferred Experience / Good Learning Opportunities + 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 Join Us At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission- enabling our customers to make the world healthier, cleaner, and safer. Apply today! Compensation and Benefits The salary range estimated for this position based in New York is $88,000.00-$116,000.00. 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. colleagues and their families can count on, which includes: + 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

We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics and increase laboratory productivity. With $1.4 billion invested annually in R&D, our collaborative and diverse teams have the resources they need to drive new discoveries and do cutting-edge research and develop important applications and tools that help millions of lives around the world.
Thermo Fisher Scientific Inc. is the world leader in serving science, with an annual revenue of approximately $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, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team of more than 100,000+ colleagues deliver an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.