Jobs at Eli Lilly and Company

Lead strategy, roadmaps, stakeholder alignment, partner management, user research, analytics, and delivery for consumer companion apps supporting chronic disease management. Translate research and data into product priorities, influence senior leaders, champion consumer experience and accessibility, establish scalable technical standards, and track KPIs. May oversee UAT, launches, research, and data functions.

Lead strategy, roadmaps, development, and execution for LillyDirect’s consumer digital product portfolio. Drive customer satisfaction, loyalty, and business outcomes across web, mobile, app, chat, email, and phone experiences. Partner with engineering, design, operations, vendors, and executives to deliver scalable, accessible, frictionless products. Champion consumer insights, technical standards, user experience, and direct-to-consumer e-commerce best practices while managing complex, high-growth initiatives.

Own the strategy, discovery, roadmap, launch, and ongoing performance of a product that scales Lilly’s life sciences expertise for early-stage biotech companies. Conduct user research, define priorities, write specifications, make scope decisions, establish success metrics, and partner with engineering, design, data science, and drug development teams. Mentor product peers, support hiring, navigate enterprise security and compliance, and apply AI/ML and LLM expertise to build reliable, regulated products.

Leads competitive intelligence, market monitoring, strategic planning, and partnership evaluation for LillyDirect’s digital health platform. Advises senior leadership on industry trends, competitors, market expansion, new services, ecosystem partnerships, and potential acquisitions. Synthesizes customer and market insights, benchmarks best practices, and leads the annual strategic planning process. Requires 10+ years of experience in strategy, competitive intelligence, consulting, or comparable market analysis roles.

Owns financial planning, revenue forecasting, performance analysis, and decision support for LillyDirect’s e-commerce operations. Builds CAC, LTV, payback, marketing efficiency, and channel investment models; develops business cases; supports competitive benchmarking; prepares management reporting; and improves financial data infrastructure. Partners with marketing, commercial, product, BI&A, and finance teams to translate digital metrics into strategic recommendations for senior leadership.

Lead strategic partnerships for Lilly TuneLab, an AI/ML drug discovery platform. Identify, evaluate, structure, and execute partnerships with technology companies, biotech firms, pharmaceutical organizations, startups, CROs, and data providers. Manage complex deals from ideation through close, coordinate legal, finance, R&D, engineering, product, and technology stakeholders, analyze markets and competitors, develop deal financials, and build operational systems supporting multiple transactions.

Build and operate scalable AI and high-performance computing platforms across GPU, cloud, and on-premises environments. Administer Linux, HPC clusters, distributed computing, scheduling, storage, networking, and NVIDIA GPU infrastructure. Automate infrastructure and ML workflows using configuration management and containers, while improving reliability, performance, monitoring, resource utilization, and cost efficiency. Collaborate with scientists, engineers, and infrastructure teams to support large-scale training, inference, and experimentation.

Conduct translational research developing precision senolytic therapies for pulmonary fibrosis and interstitial lung disease. Establish cellular senescence models using primary human cells, iPSC-derived cells, animal fibrosis models, and human disease tissue. Identify senescent-cell markers, engineer immune effector strategies, evaluate efficacy, analyze multimodal datasets, collaborate with academic and cross-functional teams, present findings, and publish research.

Lead development of agentic AI systems that autonomously plan, execute, analyze, and optimize laboratory experiments. Build integrations with robotic platforms and analytical instruments, implement closed-loop learning, deploy reliable containerized services, and ensure experiment data supports downstream model training. Own the platform roadmap, reliability, adoption, and technical direction while managing and mentoring a team of scientist-engineers. Collaborate with chemists, biologists, automation engineers, NVIDIA, vendors, and senior R&D leadership.

Engineer agentic AI and automation integrations connecting planning systems with laboratory instruments, robotic platforms, ELN/LIMS, and data pipelines. Build multi-agent workflows with orchestration, state management, tool integration, error recovery, and human oversight. Deploy containerized services using Docker, Kubernetes, Argo, GitOps, and CI/CD. Collaborate with scientists, automation engineers, and NVIDIA researchers to transition prototypes into reliable autonomous experimentation systems for drug discovery.

Conduct vaccine candidate discovery research through mammalian antigen expression, immunoassays, flow cytometry, molecular biology, and preclinical immune-response profiling. Prepare and quality-control reagents, analyze and present experimental data, document work in electronic laboratory notebooks, support SOPs and protocols, and coordinate laboratory inventories, samples, study schedules, and external shipments.

Leads scientific direction and technical strategy for large-scale AI research programs advancing drug discovery. Oversees AI scientists and engineers, develops foundation and generative models, designs discovery learning cycles, leads distributed multi-GPU training and inference, and builds high-performing interdisciplinary teams. Requires expertise in machine learning, computational chemistry or biology, rigorous model evaluation, experimental workflows, and scientific leadership.

Build and own TuneLab’s AI/ML-powered SaaS product for biotech customers. The Staff Software Engineer will develop full-stack application workflows, integrate Lilly’s drug-discovery models, make architecture decisions, establish engineering practices, and ship reliable customer-facing software. The role also includes mentoring engineers, supporting hiring, influencing product strategy, navigating enterprise infrastructure and compliance, and working with external biotech partners.

Build and own full-stack product features that turn Lilly’s AI and drug-discovery models into a scalable SaaS platform for biotech customers. Responsibilities include frontend and backend development, API integrations, cloud deployment, testing, releases, on-call support, architecture contributions, mentoring, customer collaboration, and navigating enterprise security and compliance requirements.

Conduct vaccine candidate discovery research through mammalian cell culture, transient antigen expression, Western blot, flow cytometry, ELISA, and Luminex immunoassays. Profile preclinical immune responses, organize samples and reagents, coordinate studies and external shipments, document experiments, support SOPs and protocols, and analyze and present reproducible data for candidate selection and program advancement. The role is onsite and may require occasional evening or weekend work.

Lead high-volume negotiation and execution of consultation agreements between Lilly ExploR&D and biotech partners. Draft, redline, amend, and finalize contracts; translate scientific scopes into precise commercial terms, work plans, deliverables, and responsibilities; and coordinate with Legal, Finance, Compliance, scientists, and leadership. Maintain deal tracking and pipeline visibility, improve contracting processes, and ensure governance standards. The role may expand into alliance management.

The Data Architect will design and build data infrastructure to support AI-driven drug discovery, focusing on data models, architectures, and integration strategies.

The role requires engineering integrative solutions between AI and lab systems to enhance molecule discovery through automation and data connectivity. It involves prototyping, collaboration with scientists, deploying intelligent systems, and ensuring reliable lab operations.

Lead development of scalable digital health platform solutions, establishing software architecture and development standards while coordinating multiple technical teams. Evaluate designs, manage software delivery risks, support regulatory and medical device quality expectations, and drive platform innovation through proofs of concept. Mentor developers, influence architects and delivery teams, and guide Agile development across Lilly and external partners. The role requires expertise in cloud platforms, asynchronous systems, identity management, CI/CD, and software lifecycle delivery.

Embed with discovery teams to translate scientific workflows into production AI systems. Rapidly prototype and deploy LLM/RAG-based solutions for multi-omics problems, run evaluation loops, ensure data provenance and reliability, and distill learnings into reusable platform components to drive adoption across therapeutic areas.