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.

In this role, a typical day might include the following:

• 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

This job might be for you if you:

• Have a data-first mentality with strong analytical skills — SQL, Python (pandas/NumPy), 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 proeficient with AI-powered development tools such as Claude Code and GitHub Copilot for accelerating software delivery

In order to be considered for this role,you must have:

• 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

Salary Range (annually)