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.

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/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 proeficient with AI-powered development tools such as Claude Code and Git Hub 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 (Lang Chain, Llama Index, Claude/Anthropic APIs, OpenAI APIs) is preferred.

* Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines (Jenkins, Git Hub Actions) is a plus

* Experience with instrument integrations (Tetra Science 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

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