Senior Developer - Research and Development
About the role
Regeneron is seeking an outstanding Senior Developer to design, develop, and deliver informatics solutions that enable our research and preclinical development pipeline. This role focuses on LIMS/ELN platform development, scientific data integrations, and building AI-powered capabilities that accelerate scientific workflows.
Responsibilities
Own the design and development of server-side plugins, integrations, and workflows on LIMS/ELN platforms (Sapio preferred) using Java and Python
Architect and build AI/GenAI-enabled solutions (LLM agents, RAG pipelines, prompt-engineered workflows) to streamline R&P D informatics processes
Develop data pipelines and integrations between scientific instruments, LIMS/ELN systems, and enterprise data platforms — owning data modeling, transformation logic, and data quality validation end-to-end
Serve as technical lead on projects — defining technical approach, conducting code reviews, and mentoring developers
Partner with scientists, lab operations, and product owners to translate scientific requirements into scalable technical solutions
Evaluate and implement COTS platform capabilities (Sapio, Benchling, Dotmatics) to enhance out-of-the-box functionality before custom development
Design and develop REST APIs, webhooks, and middleware to enable interoperability across R&D systems
Apply a data-first approach to problem-solving — analyze scientific datasets, identify data quality issues, build dashboards and reporting solutions, and translate data insights into actionable recommendations for scientific collaborators
Contribute to platform modernization initiatives, including cloud migration and containerized deployments
Ensure solutions meet GxP compliance requirements where applicable
Requirements
Bachelor's degree in Computer Science, Bioinformatics, Life Sciences, or related field
3+ years of work experience in software development supporting life sciences R&D or laboratory informatics
Proficiency in Java (server-side development, plugin architectures)
Proficiency in Python (scripting, data pipelines, webhooks, automation)
Experience with at least one LIMS or ELN platform: Sapio, Benchling, or Dotmatics. Experience with Sapio LIMS/ELN (server-side plugins, workflows, data model configuration) is preferred
Proven experience with AI/GenAI technologies: building LLM-powered agents, prompt engineering, retrieval-augmented generation (RAG), or AI-assisted workflow automation. Experience with AI agent frameworks (LangChain, LlamaIndex, Claude/Anthropic APIs, OpenAI APIs) is preferred
Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitHub Actions) is a plus
Experience with instrument integrations (TetraScience or direct instrument interfaces) is preferred
Experience with data analytics and visualization tools (Spotfire, Tableau, Power BI, or Jupyter notebooks) to support data-driven decision-making is a plus