{"schemaVersion":"jobsearcher.job.v1","id":"f8738e0af68b4e524ff5027c","url":"https://jobsearcher.com/jobs/f8738e0af68b4e524ff5027c","canonicalUrl":"https://jobsearcher.com/jobs/f8738e0af68b4e524ff5027c","title":"Technical Lead - Software Developer, Data Foundry","description":"Lilly is seeking a Scientific Software Developer to build software systems that power AI-native drug discovery.\r\nLocation: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN\r\nResponsibilities\r\nScientific Data Pipelines, APIs & LIMS\r\nDesign, build, and maintain data processing pipelines for complex scientific datasets (chemical, biological, HTE, and automation-generated data), ensuring FAIR compliance and machine-actionability.\r\nDevelop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases.\r\nSupport continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards.\r\nMLOps & Model Operationalization\r\nBuild ML deployment pipelines—experiment tracking, model versioning (MLflow, W&B), containerized serving, monitoring, and automated retraining.\r\nImplement model observability: drift detection, performance alerting, and lifecycle management.\r\nCollaborate with Methods4Insight to operationalize cheminformatics, statistical, and AI/ML models as production APIs.\r\nAgentic Platforms & AI Agent Infrastructure\r\nDevelop agent-ready APIs with structured error handling, audit trails, and monitoring supporting agent autonomy and human oversight.\r\nContribute to MCP servers or similar frameworks exposing Data Foundry capabilities to AI agents.\r\nBuild software enabling closed-loop experimentation: agents design, automation executes, data flows back, models update.\r\nAutomation Software & Lab Integration\r\nBuild integrations connecting lab automation equipment, scheduling systems, and instrument data streams to Data Foundry's infrastructure with proper metadata and traceability.\r\nCreate modular, reusable automation workflow components scientists can configure without writing code.\r\nScientific Prototyping & Tech@Lilly Handoff\r\nWork directly with bench scientists to rapidly prototype custom applications, dashboards, and workflow tools to improve scientist's experience and efficiency.\r\nValidate prototypes through iterative scientist feedback, then partner with Tech@Lilly to hand off for enterprise scaling with defined transition criteria and documentation.\r\nCloud Infrastructure & DevSecOps\r\nBuild 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).\r\nApply DevSecOps standards including security scanning, code review, and automated testing.\r\nQualifications\r\nB.S./M.S./PhD. in Computer Science, Bioinformatics, Computational Biology, Cheminformatics, Chemistry, Biology, Biomedical Engineering, or related STEM field.\r\nBroad experience: BS (10+ years), MS (5+ years) or PhD (1+ year) in scientific software development with understanding of experimental data types and scientific workflows.\r\nProficiency in Python and at least one additional language (Java, C#, Go, TypeScript, or Rust); strong SQL skills.\r\nExperience building RESTful APIs, data pipelines, and/or microservices for scientific or technical applications.\r\nPreferred Qualifications\r\nPharmaceutical or biotech research industry experience, especially in discovery workflows for biology, chemistry, biochemistry or automation.\r\nExperience with MLOps tooling: experiment tracking (MLflow, W&B), model registries, model serving, monitoring/drift detection.\r\nFamiliarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and Git.\r\nStrong communication skills with a track record of productive scientist collaboration.\r\nExposure to AI agent infrastructure, MCP frameworks, or building APIs that AI/ML systems invoke programmatically.\r\nExperience integrating lab automation systems with digital platforms or AI-driven workflows.\r\nHands-on experience with cheminformatics tools (RDKit, Schrödinger, MOE) or bioinformatics platforms.\r\nData warehousing experience (Postgres, Redshift, BigQuery, Snowflake) and scientific data standards/ontologies.\r\nLIMS/ELN experience (e.g., Benchling) and laboratory instrument integration.\r\nWorkflow orchestration (Prefect, Airflow, Nextflow, WDL), CI/CD, and Linux/bash scripting.\r\nStrong learning agility—willingness to step outside comfort zone and adopt new technologies to get the job done.\r\nCompensation & Benefits\r\nSalary range: $151,500 – $244,200 annually. This is a full-time position and employees are eligible for a company bonus, 401(k) plan, pension, vacation, medical, dental, vision, prescription drug, flexible benefits, life and death insurance, and various well-being resources.\r\nEEO Statement\r\nLilly is a proud EEO employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.\r\nAccommodation\r\nIf you require accommodation to submit a résumé, complete the accommodation request form. For assistance, please contact Lilly's disability inclusion team.\r\nJ-18808-Ljbffr","company":"Eli Lilly","rawCompany":"eli lilly","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-04T01:49:11.559Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Lead - Software Developer, Data Foundry","description":"Lilly is seeking a Scientific Software Developer to build software systems that power AI-native drug discovery.\r\nLocation: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN\r\nResponsibilities\r\nScientific Data Pipelines, APIs & LIMS\r\nDesign, build, and maintain data processing pipelines for complex scientific datasets (chemical, biological, HTE, and automation-generated data), ensuring FAIR compliance and machine-actionability.\r\nDevelop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases.\r\nSupport continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards.\r\nMLOps & Model Operationalization\r\nBuild ML deployment pipelines—experiment tracking, model versioning (MLflow, W&B), containerized serving, monitoring, and automated retraining.\r\nImplement model observability: drift detection, performance alerting, and lifecycle management.\r\nCollaborate with Methods4Insight to operationalize cheminformatics, statistical, and AI/ML models as production APIs.\r\nAgentic Platforms & AI Agent Infrastructure\r\nDevelop agent-ready APIs with structured error handling, audit trails, and monitoring supporting agent autonomy and human oversight.\r\nContribute to MCP servers or similar frameworks exposing Data Foundry capabilities to AI agents.\r\nBuild software enabling closed-loop experimentation: agents design, automation executes, data flows back, models update.\r\nAutomation Software & Lab Integration\r\nBuild integrations connecting lab automation equipment, scheduling systems, and instrument data streams to Data Foundry's infrastructure with proper metadata and traceability.\r\nCreate modular, reusable automation workflow components scientists can configure without writing code.\r\nScientific Prototyping & Tech@Lilly Handoff\r\nWork directly with bench scientists to rapidly prototype custom applications, dashboards, and workflow tools to improve scientist's experience and efficiency.\r\nValidate prototypes through iterative scientist feedback, then partner with Tech@Lilly to hand off for enterprise scaling with defined transition criteria and documentation.\r\nCloud Infrastructure & DevSecOps\r\nBuild 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).\r\nApply DevSecOps standards including security scanning, code review, and automated testing.\r\nQualifications\r\nB.S./M.S./PhD. in Computer Science, Bioinformatics, Computational Biology, Cheminformatics, Chemistry, Biology, Biomedical Engineering, or related STEM field.\r\nBroad experience: BS (10+ years), MS (5+ years) or PhD (1+ year) in scientific software development with understanding of experimental data types and scientific workflows.\r\nProficiency in Python and at least one additional language (Java, C#, Go, TypeScript, or Rust); strong SQL skills.\r\nExperience building RESTful APIs, data pipelines, and/or microservices for scientific or technical applications.\r\nPreferred Qualifications\r\nPharmaceutical or biotech research industry experience, especially in discovery workflows for biology, chemistry, biochemistry or automation.\r\nExperience with MLOps tooling: experiment tracking (MLflow, W&B), model registries, model serving, monitoring/drift detection.\r\nFamiliarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and Git.\r\nStrong communication skills with a track record of productive scientist collaboration.\r\nExposure to AI agent infrastructure, MCP frameworks, or building APIs that AI/ML systems invoke programmatically.\r\nExperience integrating lab automation systems with digital platforms or AI-driven workflows.\r\nHands-on experience with cheminformatics tools (RDKit, Schrödinger, MOE) or bioinformatics platforms.\r\nData warehousing experience (Postgres, Redshift, BigQuery, Snowflake) and scientific data standards/ontologies.\r\nLIMS/ELN experience (e.g., Benchling) and laboratory instrument integration.\r\nWorkflow orchestration (Prefect, Airflow, Nextflow, WDL), CI/CD, and Linux/bash scripting.\r\nStrong learning agility—willingness to step outside comfort zone and adopt new technologies to get the job done.\r\nCompensation & Benefits\r\nSalary range: $151,500 – $244,200 annually. This is a full-time position and employees are eligible for a company bonus, 401(k) plan, pension, vacation, medical, dental, vision, prescription drug, flexible benefits, life and death insurance, and various well-being resources.\r\nEEO Statement\r\nLilly is a proud EEO employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.\r\nAccommodation\r\nIf you require accommodation to submit a résumé, complete the accommodation request form. For assistance, please contact Lilly's disability inclusion team.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T01:49:11.559Z","dateModified":"2026-07-04T01:49:11.559Z","hiringOrganization":{"@type":"Organization","name":"Eli Lilly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f8738e0af68b4e524ff5027c"},"url":"https://jobsearcher.com/jobs/f8738e0af68b4e524ff5027c"}}