Currently tracking 28 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $58k–$345k (avg $175k).
Eli Lilly currently has 36 active AI-related job listings. The majority of these roles, 56%, are focused on agents, with data-related positions making up another 28%. Engineering is the most frequent function for these hires. The company is primarily hiring in the United States and India. Frequent technology tags include agent orchestration, RAG, and model serving, indicating a focus on building and deploying AI systems.
Eli Lilly currently has 36 active AI-related roles in our index. The most common open titles are: Director, Discovery Bioinformatics Oncology (2), Advisor - Agent Research, Advisor - Antibody Developability Validation & Benchmarking, Advisor - Data Architect, Data Foundry, Advisor - Lab Automation Software Engineer. Most positions are in Engineering and Research.
Eli Lilly's active AI hiring is concentrated in: agents (53%), data (25%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Eli Lilly is hiring AI talent in: United States (29 roles), India (7 roles).
Job postings at Eli Lilly most frequently reference: agent orchestration, rag, model serving, llm observability, vector db.
In the past 30 days, Eli Lilly has posted 12 new AI-related roles. That is a -48% change versus the prior 30 days (23 → 12).
| Title | Stage | AI score |
|---|---|---|
| Advisor - Agent Research Seeking a scientist-engineer hybrid to deploy AI-driven discovery platforms using foundation models, multi-agent systems, and robotics in drug discovery workflows. The role involves translating scientific workflows into agentic systems, integrating LLM reasoning with domain tools, and supporting model deployment and inference services. | AgentServe | 9 |
| Advisor - Antibody Developability Validation & Benchmarking The Advisor - Antibody Developability Validation & Benchmarking role at Eli Lilly is part of the AI-powered drug discovery platform, Lilly TuneLab. This role focuses on validating federated antibody models by building benchmark suites, designing test sets, integrating public benchmarks, and developing validation frameworks. The goal is to ensure the trustworthiness of AI models for triaging drug candidates, partnering closely with modeling scientists on design choices and statistical rigor, and integrating validation into the MLOps pipelines. |
| Eval GatePost-train |
| 8 |
| Director, Discovery Bioinformatics Oncology Lead the AI/ML innovation & deployment for oncology discovery, architecting and operationalizing state-of-the-art machine learning (deep learning, foundation models, LLM-powered applications) to accelerate target identification, protein/antibody design, and multimodal data integration. Develop next-gen data integration platforms, advance computational protein & antibody design using active learning, and design/oversee experiments. Deliver robust, scalable ML systems with MLOps on cloud platforms and foundational bioinformatics. | AgentData | 8 |
| Applied AI Engineer, Clinical Informatics This role focuses on building agentic AI applications and ML systems to extract, define, and contextualize patient phenotypes from clinical trial datasets, biobank data, and electronic health records. It involves developing RAG pipelines, applying unsupervised/self-supervised learning, survival models, and NLP techniques to derive translational insights for clinical research. The role requires strong Python/R skills and experience with cloud environments, with a focus on research rigor and reproducibility. | AgentData | 8 |
| Sr. Principal or Engineering Advisor - Agentic Lab Automation Integration This role focuses on engineering the integration between agentic AI and physical lab systems, specifically for automating and accelerating molecule discovery in a healthcare setting. The engineer will build multi-agent systems, design agent workflows that interact with lab automation platforms, and deploy these systems into production environments. The goal is to create autonomous agents that can execute experiments, reduce experimental cycle times, and become integral to lab operations. | Agent | 8 |
| Director, Discovery Bioinformatics Oncology Lead the AI/ML innovation & deployment for oncology discovery, architecting and operationalizing state-of-the-art machine learning models (deep learning, foundation models, LLMs) to accelerate target identification, protein/antibody design, and multimodal data integration. Develop next-gen data integration platforms, advance computational protein & antibody design using active learning, and design/oversee experiments. Deliver robust, scalable ML systems with MLOps on cloud platforms and ensure foundational bioinformatics practices. | AgentData | 8 |
| Scientific Lead - Forward Deployed AI Engineer, Applied Intelligence for Discovery The Forward Deployed AI Engineer will embed with research teams to translate scientific use-cases into production AI systems for drug discovery. This role involves applying LLMs, RAG, and agentic frameworks to solve scientific problems, running evaluation loops, and distilling learnings into reusable components. The engineer will own end-to-end deployments, ensuring reliability and integrating with AI/LLMOps platforms, with a focus on measurable workflow impact and evidence-based feedback loops. | AgentServe | 8 |
| Associate Vice President - Methods4Insight, Data Foundry Associate Vice President leading the analytical methods and computational science pillar within Data Foundry, focusing on accelerating molecule discovery. This role involves leading a team of experts in cheminformatics, computational structural biology, statistical modeling, and AI/ML, ensuring Lilly has access to advanced analytical approaches for both human scientists and AI agents. The position requires strategic decision-making on adopting or developing methods, identifying data gaps, and establishing validation frameworks, with a strong emphasis on integrating methods into AI agent workflows. | DataAgent | 8 |
| Software Engineer, AI & Clinical Applications Software Engineer role focused on building AI-powered and agentic applications to automate clinical workflows within a regulated healthcare environment. The role involves full-stack development, architecting LLM-integrated tools, and ensuring compliance with industry standards. | Agent | 7 |
| Engineer - MLOps & Scientific Platforms - Data Foundry Engineer focused on MLOps and scientific platforms to operationalize AI/ML tools for drug discovery. Responsibilities include building ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails to make scientific methods reliable and scalable for both human scientists and autonomous AI agents. This role bridges methods development and data infrastructure, ensuring tools are analytics-ready, monitored, and exposed via APIs with performance guarantees. | ServeAgent | 7 |
| Post Doctoral Scientist – Human Genomics and Translational Data Sciences This role focuses on applying statistical and computational approaches, including machine learning, to analyze large-scale multi-omics (genomic, proteomic, metabolomic) and clinical data from biobanks and population cohorts. The goal is to identify novel therapeutic targets and biomarkers for cardiometabolic diseases. The role involves developing and implementing bioinformatics pipelines, contributing to novel statistical methods, and collaborating with interdisciplinary teams to guide therapeutic development. While the primary focus is on data analysis and method development (L0/L2), the ultimate aim is to inform drug discovery and development. | DataPost-train | 7 |
| Director – Software Product Management, Enterprise AI Orchestration The Director of Software Product Management for Enterprise AI Orchestration at Eli Lilly will define and drive the strategy for deploying, managing, and optimizing AI agents and workflows at an enterprise scale within the pharmaceutical industry. This role involves owning the product roadmap for an enterprise AI orchestration platform, enabling business units to build and manage AI workforces, and ensuring AI investments deliver measurable business value while adhering to compliance requirements. | Agent | 7 |
| Director/Senior Director, Analytical Methods (Methods4Insight) Director/Senior Director, Analytical Methods role within Lilly's Data Foundry team, focusing on developing and deploying cutting-edge analytical methods (cheminformatics, computational structural biology, statistical modeling, AI/ML) to accelerate molecule discovery. This role involves translating advanced methods into practical capabilities for both human scientists and autonomous AI agents, collaborating with other Data Foundry pillars and Frontier AI, and establishing best practices for method validation and impact tracking. | Agent | 7 |
| Sr. Staff Software Engineer - AI Chat Senior Staff Software Engineer to own the technical direction and delivery of ChatNow's core platform, which includes the routing engine that matches intent to the right agent, the integration layer that connects a growing ecosystem of AI capabilities, and the experience layer that makes it all feel effortless. The role involves defining the architecture and driving implementation of the conversation routing engine, owning the agent integration layer, building streaming chat interfaces, and integrating LLM capabilities through a model gateway with multi-model routing and fallback. | Agent | 7 |
| CADD Postdoctoral Scientist Postdoctoral Scientist role focused on developing synthesis-aware virtual screening workflows for early small-molecule drug discovery, integrating AI/ML with structure-based drug design and fragment chemistry. | Data | 7 |
| Technical Lead - Software Developer, Data Foundry Scientific Software Developer to build software systems for AI-native drug discovery. This role involves creating prototypes, data pipelines, APIs, MLOps infrastructure, agentic platform components, and lab automation integrations. The work spans architecture, methods, and automation, with a focus on a prototype-to-production model, handing off mature solutions to an enterprise scaling team. Responsibilities include building data pipelines for scientific datasets, developing APIs for LIMS and instruments, implementing MLOps for model deployment and observability, developing agent-ready APIs and infrastructure for closed-loop experimentation, integrating lab automation, and building cloud-native components with DevSecOps practices. | AgentServe | 7 |
| Director, Software Product Management – Discovery Research Platforms Product Management leader to shape strategy and development of custom software platforms for discovery research, focusing on computational drug design and optimization for large molecules. The role involves integrating agentic AI capabilities into research workflows, accelerating design-make-test-learn cycles, and enabling scientists to compose complex computational pipelines through AI-assisted interfaces. Requires partnership with computational biologists, protein engineers, and engineering teams to translate research needs into scalable software platforms. | Agent | 7 |
| Director/Senior Director, ADMET & PK/PD Modeling This role focuses on building and validating predictive models for ADMET and PK/PD endpoints within a healthcare AI/ML platform for drug discovery. It involves developing translational and distribution modeling approaches, ensuring model usability for partners, defining data strategies, and leveraging AI/agentic tools for automation and interpretability. The role also includes mentorship of junior scientists. | Data | 7 |
| Scientific Lead - Scientific Data Engineer This role focuses on building the data infrastructure and semantic layer to make scientific data accessible for AI systems, specifically for drug discovery research. It involves designing and building data architectures, ETL/ELT pipelines, and AI-ready data products, including vector embedding pipelines for RAG. The role bridges data infrastructure and generative AI engineers, aiming to convert early deployments into repeatable system standards and evaluation practices. | DataAgent | 7 |
| Director/Senior Director/ Executive Director: Digital Innovation & Technology Strategy – Global PK/PD & Pharmacometrics This role focuses on developing and implementing a digital strategy for integrating AI, ML, and automation into quantitative pharmacology and pharmacometrics workflows within a healthcare setting. The goal is to accelerate drug development, position the organization as an industry leader in AI-enabled drug development, and ensure scientific rigor and regulatory compliance. The role involves evaluating emerging AI technologies, leading pilots, partnering with IT and data science teams, driving AI adoption through organizational change, and defining success metrics. | Ship | 7 |
| Advisor, Data Scientist - CMC Data Products The role focuses on developing and delivering enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance within the pharmaceutical domain. It involves defining data archetypes, creating reusable data models, and implementing data frameworks for regulated environments. The core responsibility is building AI-ready data products, including training datasets for various AI/ML applications and supporting generative AI for knowledge management. | Data | 7 |
| Advisor - Lab Automation Software Engineer This role focuses on designing and building AI-integrated, closed-loop autonomous discovery ecosystems for biotherapeutics research. It involves orchestrating automated laboratory workflows, implementing ML models for optimization, and creating digital lab infrastructure. The primary output is an agentic system that proposes hypotheses, executes experiments, analyzes results, and iteratively refines designs. | AgentData | 7 |
| Cyber Technical Program Manager This role is for a Cyber Technical Program Manager at Eli Lilly, focusing on managing cybersecurity programs that address current and emerging threats, including those related to AI. The role requires deep understanding of cybersecurity domains, attacker TTPs, and the ability to drive program execution, manage risks, and communicate technical concepts to various stakeholders. It involves understanding threats like AI supply chain risks, identity exploitation, and attack surface management, and applying knowledge of regulatory frameworks. | — | 5 |
| Senior Director, Software Engineering - Silicon Valley Hub Senior Director of Software Engineering to lead architecture, design, and development of AI platforms and products within a healthcare company. The role involves hands-on coding, technical leadership, and partnering with product managers to translate ambiguous problems into technical roadmaps. Focus on building agentic AI platforms, LLM application patterns, and evaluating emerging technologies. | Agent | 5 |
| Consumer Product Quality Assurance – Reporting & Insights Lead This role leads the transformation of reporting and analytics for consumer product quality assurance, converting complaint and quality data into validated, decision-ready insights. It involves defining and delivering a global strategy, partnering with IT for scalable solutions, and leveraging automation, AI, and advanced analytics to drive quality, compliance, and process improvements within a GxP-regulated environment. | — | 5 |
| Scientific Software Developer, Data Foundry Scientific Software Developers are needed to build the data infrastructure, scientific tools, and lab automation integrations that power AI-native drug discovery. This role involves working with scientists to create prototypes, data pipelines, APIs, and workflow tools, with a focus on enabling autonomous AI agents and closed-loop experimentation through lab automation. The role is anchored in Architecture4Insight, with collaboration across Methods4Insight and Automation & Scale4Insight, and involves building scientific software consumed by other teams, including AI agents. | AgentData | 5 |
| Associate Director - LVA Strategy and Innovation This role focuses on accelerating innovation execution within Lilly Value & Access (LVA) by improving consumer experience, business model innovation, and the data/technology foundation. It involves seeking external solutions and internal process improvements through AI and other technologies, piloting initiatives, and collaborating with various stakeholders. The goal is to grow direct business, accelerate learning, enable data-driven decisions, and embed a consumer-centric mindset. | — | 5 |
| Digital Automation Engineer —DeltaV Central Solutions and Transformation The Digital Automation Engineer will be part of the Corporate Engineering Technology Center, Global Process and Control Engineering (GPACE) team. This role will develop central automation solutions for API manufacturing facilities, including digital transformation tools and AI applications to eliminate manual work. The engineer will support DeltaV CLASS module library updates, develop digital strategies for DeltaV transformation tools and AI applications, and manage use cases for streamlining DeltaV delivery and CSV. The role requires a Bachelor's degree in engineering, 5+ years of experience in Process Automation with Emerson DeltaV, and experience in GMP environments. Programming experience with Python and experience with system integration are preferred. | — | 5 |
| Associate Director, Machine Learning Project Management, Lilly TuneLab Associate Director, Machine Learning Project Management for Lilly TuneLab, an AI/ML platform providing drug discovery models to biotech companies. The role focuses on project management leadership for model development, product release cycles, and external partnerships, aiming to scale the platform and facilitate collaborations. | Post-train | 5 |
| Advisor - Data Architect, Data Foundry The Data Architect will design and build the data infrastructure for AI-native drug discovery, focusing on data modeling, lakehouse architecture, and knowledge graphs. This role transforms raw scientific data into machine-actionable assets for scientists and AI agents, supporting model training and RAG workflows. | DataAgent | 5 |
| Data Architect, Data Foundry Seeking Data Architects to design and build the data infrastructure for AI-native drug discovery. This involves creating schemas, ontologies, data models, and platform architectures to transform raw scientific data into machine-actionable assets for discovery scientists and autonomous AI agents. The role focuses on data modeling, data platform architecture, and knowledge graph systems, enabling AI-driven capabilities. | DataAgent | 5 |
| Manager - Validation Lead – Technical Support & Operations – Global Services Manager leading Computer System Validation (CSV)/Computer Software Assurance (CSA) activities for IT systems, with a focus on driving innovation by leveraging AI and automation to simplify and streamline validation processes. The role involves leading validation projects, reviewing AI-generated documents, and promoting risk-based approaches and continuous improvement. | — | 5 |
| Director/Sr Director Pharmacometrics Director/Sr Director Pharmacometrics role at Eli Lilly focused on advancing drug discovery and development through quantitative science, with a strong emphasis on integrating AI/ML and automation into modeling workflows. The role involves scientific and technical leadership, mentoring, and shaping PMx strategy across programs and the organization, including engagement with regulatory agencies. | Data | 5 |
| Advisor - Lab Automation Software Engineer, AI-Integration This role focuses on integrating software and AI capabilities into laboratory automation for antibody discovery. The engineer will lead the design and implementation of software integrations between automation infrastructure and digital tools, including exploring and prototyping AI-driven decision-making in workflows. The goal is to build intelligent systems for closed-loop autonomous discovery, accelerating biologics development. | Agent | 5 |
| Director, Molecular Pharmacology This role is for a Director of Molecular Pharmacology at Eli Lilly, focusing on designing and executing assays to support drug discovery programs. The role involves developing novel assay platforms, characterizing compound pharmacology, and providing scientific leadership. A key responsibility is to incorporate AI/ML into scientific workflows, though the core function is not AI/ML development itself. | — | 5 |
| Associate Director - Ecosystem Growth & Contributor Partnerships This role focuses on growing and managing partnerships for an AI/ML platform (Lilly TuneLab) that provides drug discovery models to early-stage biotech companies. The Associate Director will be responsible for user activation, contributor onboarding, and developing strategic partnerships within the biotech ecosystem, acting as a liaison between the platform and external entities. The role requires a strong understanding of drug discovery and experience in business development or scientific partnerships. | — | 5 |
| Associate Director - IT Concord Associate Director of Technology at Eli Lilly's new manufacturing site in Concord, NC. This role involves leading IT systems supporting manufacturing and quality operations, driving technological advancements, and managing a team. Key responsibilities include project delivery, strategic IT leadership for digital deployments (including AI and data analytics), and team management within a GMP-regulated pharmaceutical environment. | — | 1 |
| Discovery ADME Project Leader (Antibody Drug Conjugates, ADCs) Seeking an experienced drug hunter as a Discovery ADME Project Leader for Antibody Drug Conjugates (ADCs). The role requires deep mechanistic understanding of drug disposition, PK, and translational science, integrating biology, chemistry, and modeling. Responsibilities include developing integrated preclinical ADME strategies, driving ADME strategy by aligning pharmacokinetics, metabolism, and safety data, and guiding compound design. The role involves serving as the ADME single-point-of-accountability on cross-functional program teams, collaborating with various discovery functions, and contributing to candidate selection decisions. The position also requires implementing best practices, mentoring junior scientists, and leveraging AI/agentic tools where possible. A PhD in a related field and 6+ years of industry experience in drug discovery are required. | — | 1 |
| Associate Director - Pharmacovigilance (PV) Systems Strategy and Implementation The Associate Director of Pharmacovigilance (PV) Systems Strategy and Implementation at Eli Lilly is responsible for developing, implementing, and maintaining compliant systems for the PV organization. This role involves analyzing business processes, identifying improvements, and driving the PV technology and analytics strategy. Key responsibilities include leading analytics and automation solutions, managing PV systems, ensuring compliance with regulations, and partnering with IT and business teams to build and deploy applications and analytics models. While the role mentions AI and analytics models, its core focus is on system implementation and compliance within a regulated healthcare environment, rather than core AI/ML development. | — | 1 |
| Associate Director - Operations (Environmental Control Unit) Associate Director of Operations for Environmental Control Unit at a new API manufacturing facility. Responsibilities include managing daily operations, ensuring safety and quality, maintaining regulatory compliance, supporting production plans, implementing improvements, and developing staff. The role is crucial during the startup phase of a greenfield site, requiring collaboration to build the organization, systems, and culture for GMP operations. | — | 0 |
| Principal Associate Quality Assurance - FUME This role is for a Principal Associate in Quality Assurance for Facilities, Utilities, Maintenance, and Equipment (FUME) in a pharmaceutical setting. The primary focus is on ensuring Good Manufacturing Practices (GMP) compliance for facility design, delivery, verification, qualification, and startup to secure regulatory approval. Responsibilities include quality oversight of commissioning and qualification documentation, validation, technical reviews, and supporting inspection readiness. The role requires experience in the pharmaceutical GMP industry, specifically with FUME systems, and knowledge of relevant regulations. | — | 0 |
| Manufacturing Supervisor - Advanced Therapies This role is for a Manufacturing Supervisor at Eli Lilly's new Advanced Therapies facility, focusing on gene therapy and new modalities. The supervisor will lead Production Operators, manage employee performance, ensure compliance with GMP and safety regulations, and oversee routine production and facility start-up activities. The role requires experience in a regulated industry, preferably GMP, and strong leadership and problem-solving skills. | — | 0 |
| Operator – Visual Inspection Operator role focused on visual inspection of pharmaceutical products, operating automated and semi-automated equipment, and adhering to Good Manufacturing Practices (GMP) in a manufacturing environment. Requires attention to detail, adherence to safety and quality standards, and documentation of processes. | — | 0 |
| Operator, Packaging (Night Shift) Operator role in pharmaceutical manufacturing, focusing on running processes, troubleshooting, training, and ensuring safety and quality in medicine production. | — | 0 |
| Engineer SDD This role supports the development of key solutions or process improvements for Lilly manufacturing processes or industry-defined subjects. The Engineer SDD is expected to bring expertise and knowledge to lead development processes through research, laboratory experimental efforts, and direct interactions with manufacturing sites, development, and functional areas. The role provides technical leadership, guidance, and support to sites and external manufacturing organizations, supports major capital projects, and networks with the external community. Key responsibilities include providing engineering technical leadership in spray dried technology, collaborating cross-functionally, assisting with technical evaluations and problem resolution, developing experimental programs, supervising laboratory experiments, and preparing technical reports. The role requires a BS in Engineering or Science with 8+ years of manufacturing experience in a GMP regulated environment. | — | 0 |
| SAP Analyst - Supply Chain - Manufacturing This role supports Lilly's manufacturing site logistic flow, focusing on SAP and MES systems integration, particularly SAP EWM. It involves supporting implementation, providing day-to-day support, and promoting process improvement within a regulated manufacturing environment. | — | 0 |
| Oncology Health-Outcomes Liaison The Health Outcomes Liaison (HOL) serves as the medical and HEOR interface between Lilly and U.S. population-based decision makers (PBDMs) including payers, health systems, research institutions, and policy makers. The HOL role provides answers to customer questions with clinical evidence, HEOR, and RWE to support formulary access and pathways/guidelines decisions impacting millions of patients. The HOL is acutely attuned to therapeutic evidence gaps, understands environmental trends, and anticipates stakeholder evidence needs. The HOL also works cross-functionally to provide external insights to influence strategy- especially the HEOR research agenda. | — | 0 |
| In Vitro Pharmacologist — Molecule Discovery In vitro pharmacologist with deep experience in molecular biology, cell biology, biochemistry, and pharmacology, responsible for critical evaluation of scientific and business opportunities, assessing scientific merit, technical feasibility, and assay readiness of potential partnerships and programs. The role involves designing and executing in vitro pharmacology models to support hit selection, lead optimization, and candidate progression, and evaluating/building CRO networks. Key responsibilities include assessing biotech partner assay readiness, providing expert opinions on assay quality, defining project workflows, advising on candidate screening strategies, and collaborating across multiple modalities. | — | 0 |
| Sr. Reliability Engineer - Lebanon API Reliability Engineer role focused on equipment reliability and maintenance strategy for a pharmaceutical manufacturing facility, ensuring safe operation, HSE & cGMP compliance, and cost-efficiency. Responsibilities include developing metrics, troubleshooting equipment issues, performing Root-Cause Analysis, and collaborating with engineering teams. Requires a BS in Engineering and 3+ years of experience. | — | 0 |
| Senior Associate - External Manufacturing QA Senior Associate in External Manufacturing QA for a new gene therapy manufacturing facility, responsible for quality oversight of contract manufacturers, ensuring compliance with cGMPs, and managing batch disposition. | — | 0 |