Scientific Software Developer, Data Foundry

Lilly • San Diego, CA

1d

About The Position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
JOB DESCRIPTION
Position: Scientific Software Developer, Data Foundry
Location: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
Overview
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation & Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities—serving both human scientists and autonomous AI agents.
Position Summary
We are seeking Scientific Software Developers at multiple levels to build the data infrastructure, scientific tools, and lab automation integrations that power AI-native drug discovery. You will work directly with front-line discovery scientists and data scientists to translate their needs into fit-for-purpose prototypes, data pipelines, APIs, and workflow tools—then hand off mature solutions to Tech@Lilly for enterprise scaling and maintenance if and when needed.
This role is anchored in Architecture4Insight with close collaboration across Methods4Insight and Automation & Scale4Insight. You will build the scientific software that other teams—including the Frontier AI group’s autonomous agents—consume. Some developers will specialize in lab automation software: building the code that interfaces with physical instruments, robotic platforms, and scheduling systems to enable Scale4Insight’s closed-loop experimentation.

Requirements

• B.S. or M.S. in Computer Science, Bioinformatics, Cheminformatics, Computational Biology, Chemistry, Biology, Biomedical Engineering, or related STEM field.
• Bachelor with 3+ years and Master with 1+ years of scientific software development, with understanding of experimental data types and scientific workflows.
• Proficiency in Python and at least one additional language (Java, C#, Go, or TypeScript); SQL skills appropriate to level.

Nice To Haves

• Experience (or demonstrated aptitude at junior levels) building RESTful APIs, data pipelines, and/or microservices for scientific or technical applications.
• Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and Git.
• Strong communication skills and interest to collaborate with scientists and multi-functional teams.
• Pharmaceutical or biotech research industry experience, particularly in discovery workflows for biology, chemistry, or automation.
• LIMS/ELN experience (e.g., Benchling) and laboratory instrument integration.
• Experience integrating lab automation systems with digital platforms, including instrument control, robotic workflow orchestration, or scheduling systems (OPC-UA, serial/USB protocols, automation scheduling platforms).
• Data warehousing experience (Postgres, Redshift, BigQuery, Snowflake) and scientific data standards/ontologies.
• Hands-on experience with cheminformatics tools (RDKit, Schrödinger, MOE) or bioinformatics platforms (Biopython, Bioconductor, sequence analysis pipelines).
• Experience with scientific computing libraries (SciPy, NumPy) for numerical methods, ODE solvers, optimization, or PK/PD modeling workflows.
• Workflow orchestration (Prefect, Airflow, Nextflow, WDL) and CI/CD practices.
• Strong learning agility—willingness to step outside comfort zone and adopt new technologies to get the job done.
• Experience with C, C++, or other compiled languages for porting performance-critical scientific workflows; ability to profile and identify computational bottlenecks.

Responsibilities

• Scientific Data Pipelines & APIs Design, build, and maintain data processing pipelines for complex scientific datasets (chemical, biological, High throughput experiments, and automation-generated data), ensuring FAIR compliance and machine-actionability.
• Develop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases.
• Support continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards.
• Scientific Prototyping & Tech@Lilly Handoff Work directly with bench scientists to understand pain points and rapidly prototype custom applications, dashboards, and workflow tools.
• Validate prototypes through iterative scientist feedback, ensuring solutions are fit-for-purpose before transition.
• Partner with Tech@Lilly Product Engineering to hand off mature prototypes for enterprise scaling, defining transition criteria, documentation standards, and SLAs.
• Automation Software & Lab Integration Build integrations connecting lab automation equipment, scheduling systems, and instrument data streams to Data Foundry’s infrastructure with proper metadata and execution traceability.
• Develop software for robotic workflow control, instrument driver interfaces, and real-time data capture from automated platforms.
• Create modular, reusable automation workflow components scientists can configure without writing code.
• Support Scale4Insight’s Agentic Lab by building software enabling seamless interfacing between automation platforms and AI-driven experimental planning.
• Cloud Infrastructure & DevSecOps Build and operate cloud-native components (AWS, Azure, or GCP) supporting containerized workflows (Kubernetes/Docker), infrastructure-as-code, CI/CD, and workflow orchestration (Prefect, Airflow, Nextflow).
• Apply DevSecOps standards including security scanning, code review, and automated testing.
• Participate in agile development with iterative improvement and cross-functional collaboration.

Benefits

• Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level