Senior Developer - Research and Development

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. The ideal candidate brings a data-first perspective — approaching every problem by understanding the underlying data, its structure, and how it flows across systems before writing code.

You will serve as a technical lead — driving architecture decisions, mentoring team members, and delivering high-quality solutions on COTS platforms including Sapio, Benchling, and Dotmatics.

• 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&pD 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&P&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.

• Have a data-first mentality with strong analytical skills—SQL, Python (pandas/Num Py), data visualization, statistical analysis, and experience deriving insights from complex scientific datasets.
• Possess the ability to lead technical initiatives as an individual contributor: architecture decisions, code quality standards, and peer mentorship.
• Exhibit excellent communication skills, bridging the gap between scientists and engineering teams.
• Have knowledge of pharma/biotech R&D workflows: screening, sample management, assay tracking, and the data models that support them.
• Are proficient with AI-powered development tools such as Claude Code and Git Hub Copilot for accelerating software delivery.

• 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 (Lang Chain, Llama Index, Claude/Anthropic APIs, OpenAI APIs) is preferred.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines (Jenkins, Git Hub…