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&PD 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, being able to bridge 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.

• Familia…