Senior Developer - Research and Development

About the role

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 problems by understanding the underlying data and its flow across systems.

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 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&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

Requirements

• 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

Qualifications

• Strong analytical skills, SQL, Python (pandas/NumPy), data visualization, statistical analysis, and experience deriving insights from complex scientific datasets
• Ability to lead technical initiatives as an individual contributor: architecture decisions, code quality standards, and peer mentorship
• Excellent communication skills, being able to bridge the gap between scientists and engineering teams
• Knowledge of pharma/biotech R&D workflows: screening, sample management, assay tracking, and the data models that support them

Skills

• Data-first mindset
• Java (server-side development, plugin architectures)
• Python (scripting, data pipelines, webhooks, automation)
• LIMS/ELN platforms: Sapio, Benchling, Dotmatics
• AI/GenAI technologies: building LLM-powered agents, prompt engineering, retrieval-augmented generation (RAG), AI-assisted workflow automation
• Containerization (Docker, Kubernetes)
• CI/CD pipelines (Jenkins, GitHub Actions)
• Instrument integrations (TetraScience or direct instrument interfaces)
• Data analytics and visualization tools (Spotfire, Tableau, Power BI, Jupyter notebooks)

Benefits

See details in the job details section.

Pay

$93,900.00 - $153,300.00 annually

Schedule

Full time