Thermo Fisher Scientific · UnknownPrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Company 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. 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. Location / Division 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. How will you make an impact? 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. 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
How well this role fits your profile.
Worked at Thermo Fisher Scientific? Share your experience