Sr. Developer - Automation Core

Regeneron; Village of Tarrytown (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Regeneron in Tarrytown, NY is seeking a Sr. Developer to design, develop, and deliver informatics solutions for the research and preclinical pipeline, focusing on LIMS/ELN platform development, data integrations, and AI-powered capabilities.

You will lead architecture decisions, implement server-side plugins on Sapio, Benchling, and Dotmatics, and collaborate with scientists, lab operations, and product owners to translate requirements into scalable solutions.

Qualifications

• Bachelor's degree in Computer Science, Bioinformatics, Life Sciences, or related field.
• Proficiency in Java and Python for server-side development.
• Experience with at least one LIMS/ELN platform: Sapio, Benchling, or Dotmatics.

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&D informatics processes.
• Develop data pipelines and integrations between scientific instruments, LIMS/ELN systems, and enterprise data platforms.
• Serve as technical lead on projects, defining logical approach, and conducting code reviews.
• Partner with scientists, lab operations, and product owners to translate scientific requirements into scalable technical solutions.

Skills

Java

Python

Education

Bachelor's degree in Computer Science, Bioinformatics, Life Sciences, or related field

Tools

Sapio

Benchling

Dotmatics

LangChain

LlamaIndex

OpenAI APIs

Job description

Build our future together:

Regeneron is seeking an outstanding Sr. 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 and delivering high-quality solutions on COTS platforms including Sapio, Benchling, and Dotmatics. The ideal candidate will collaborate across diverse scientific and engineering functions to achieve organizational goals.

Where: Based at our Tarrytown, NY location

When: 4 days onsite per week required

Discover your role:

• 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 logical approach, and conducting code reviews.
• Partner with scientists, lab operations, and product owners to translate scientific requirements into scalable technical solutions.
• Design and implement digital solutions to streamline day-to-day lab operations, improve efficiency, and support data-driven workflows across Core laboratories.
• Evaluate and implement COTS platform capabilities (Sapio, Benchling, Dotmatics) to enhance out-of-the-box functionality.
• 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.

This role requires:

• Bachelor's degree in Computer Science, Bioinformatics, Life Sciences, or related field with 3+ years of work experience in software development supporting life sciences R&pD 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.
• Experience with instrument integrations (TetraScience or direct instrument interfaces) is preferred.
• Familiarity with lab automation integration scheduling platforms, such as HighRes Cellario, and the APIs used to connect scheduling software with instruments is preferred.
• Experience creating custom drivers for laboratory devices using manufacturer-provided APIs or software development kits is a plus.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitHub Actions) is a plus.
• Experience with data analytics and visualization tools (Spotfire, Tableau, Power BI, or Jupyter notebooks) to support data-driven decision-making is a plus.

Does this sound like you?

We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the countr