The role focuses on defining and implementing the technical architecture strategy for AI solutions within the Lilly Medicine Foundry. This includes designing foundational platforms, standards, and architectural patterns for AI/ML systems, MLOps infrastructure, model lifecycle management, and generative AI capabilities like RAG and agentic systems. The role also emphasizes technical standards, governance, and compliance within the pharmaceutical industry context.

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.

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.

Advisor Software Engineer (R5) role focused on designing and building agentic AI systems, intelligent automation pipelines, and next-generation software platforms. This is a hands-on technical leadership role involving system design, full-stack engineering, and championing AI-driven development practices within a healthcare company.

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.

This role focuses on building and scaling analytical pipelines for bioinformatics and genomics data, with a significant emphasis on integrating AI-enabled tooling, including LLMs and agentic workflows. The engineer will prototype agentic workflows for automating analytical tasks, build connectors for LLM agents, and identify use cases for AI to improve research speed and quality. The role requires strong software engineering skills and a curiosity for both classical bioinformatics and modern AI.

Principal Software Engineer to join the AI & Platform team, focusing on designing, building, and scaling intelligent systems using Generative AI and LLMs. The role involves implementing agent-based AI workflows and integrating AI capabilities into production systems, working across backend and frontend components.

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.

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.

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.

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.

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.

This role focuses on delivering advanced analytics and predictive modeling for pharmaceutical manufacturing and development processes. The Senior/Principal Data Scientist will build, validate, and maintain statistical models for real-time process monitoring, anomaly detection, and performance optimization. They will collaborate with cross-functional teams, IT, and global stakeholders to deploy secure, scalable analytics solutions, ensuring data integrity and compliance with GMP and regulatory standards. The role involves data integration, visualization, and driving digital transformation within a regulated healthcare environment.

Principal Engineer - Quality Engineering role focused on designing and building evaluation frameworks for AI platforms (LLM chat/voice bots) and robust test automation for API, web, and mobile applications. Requires hands-on Python, Java, JavaScript/TypeScript for test infrastructure, CI/CD integration, and advanced AI testing methodologies. Also involves performance testing and cloud-based execution.

Technical Lead Software Architect for the AI & Platform team at Eli Lilly, focusing on designing, building, and scaling intelligent systems using Generative AI and LLMs. The role involves owning end-to-end delivery of GenAI/LLM platform capabilities, designing multi-agent AI architectures, and establishing engineering best practices for cloud-native solutions. Requires expertise in backend and frontend development, agentic AI frameworks, containerization, and cloud platforms.

Senior Principal Software Engineer to join the AI & Platform team, focusing on designing, building, and scaling intelligent systems using Generative AI and LLMs. The role involves end-to-end delivery of GenAI/LLM-powered platform capabilities, designing multi-agent AI architectures, and working across backend and frontend layers. Requires strong software engineering skills, cloud-native architecture experience, and familiarity with agentic AI frameworks.

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.

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.

Lead enterprise technology strategy and architecture for a healthcare company, focusing on AI transformation, machine learning, advanced analytics, and automation. This role involves researching industry innovations, driving solutions, shaping architectural vision, and overseeing the functional technology portfolio to enable business outcomes and growth.

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.

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.

This role is for a Technical Lead to drive the development, implementation, and optimization of Marketing Cloud platforms at Eli Lilly, a global healthcare leader. The role involves technical leadership, team guidance, collaboration with marketing stakeholders, and ensuring robust, scalable solutions for customer engagement and global marketing initiatives. While the role encourages the use of AI tools, its core function is in marketing technology implementation and management, not AI model development.

This role is for a Digital Systems Engineer at Eli Lilly's Medicine Foundry, focusing on integrating business objectives with digital and technical solutions for advanced manufacturing. The engineer will gather requirements, implement and validate digital solutions, design integrations with core systems, and support application configuration and reporting. Experience with AI incorporation into digital solutions, analytics platforms, and low-code/no-code platforms is required, within a regulated GXP environment.

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.

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.

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.

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.

Engineering leader for the ChatNow program, responsible for managing development and support teams, implementing AI Service Desk strategy, and driving engineering excellence in a healthcare setting. Requires strong leadership, GenAI concepts knowledge, and experience with ITIL, Agile, and DevOps.

Lead Consultant for Quality Engineering at Eli Lilly, focusing on digital health and patient-facing applications. This role involves leading a team of Quality Engineers, defining and executing test strategies, and developing engineering talent. The position requires hands-on technical contributions to test automation frameworks, CI/CD integration, cloud-based testing (AWS, Kubernetes, Docker), and specifically includes contributions to AI-based application testing, LLM evaluation, and validation using frameworks like RAGAS. The role also involves people leadership, stakeholder management, and process improvement within an Agile environment.

Principal Quality Engineer/Test Architect responsible for defining and driving the overall test architecture strategy across enterprise platforms, microservices, and cloud-native applications. This role involves designing scalable quality engineering frameworks, embedding testing into the SDLC, and partnering with engineering leadership to establish best practices for automation, performance, security, accessibility, and resilience testing. The role also includes evaluating and introducing AI-assisted testing tools and mentoring quality engineers. The company is a global healthcare leader, and experience in regulated industries is required.

This role leads a data and analytics team focused on the Source to Pay (S2P) value chain within a healthcare company. The responsibilities include delivering actionable insights, building scalable data products, enabling self-service analytics, and evolving the S2P data strategy using Microsoft Fabric. The role involves applying advanced analytical methods, developing predictive and prescriptive capabilities, and leading a team of data professionals. While AI is mentioned as an area to explore for future capabilities, the core focus is on data strategy, architecture, and analytics delivery for procurement, P2P, and TPRM processes.

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.

This role is for a Technical Lead Scientist in Advanced Therapies Manufacturing at Eli Lilly, focusing on gene therapy product commercialization. It involves technical leadership for clinical and commercial activities, including technology transfer, validation, production, and regulatory submissions. The position requires understanding manufacturing principles, identifying new technologies, leading risk management, and ensuring process documentation and validation strategies are in place. The role supports the construction and startup of a state-of-the-art manufacturing facility.

This role focuses on programming and testing clinical trial data collection databases, including mapping, testing, and normalizing data into a clinical data warehouse. It requires expertise in data technology, data flow, data standards, database programming, normalization, and testing within the healthcare domain.

Senior/Principal Scientist role focused on Quality Control of incoming raw materials for a new GMP manufacturing facility. Responsibilities include managing raw material lifecycle, reviewing data, supporting validation, leading investigations, authoring GMP documentation, and mentoring staff within a regulated healthcare environment.

Associate Director of Process Engineering for Peptides API at Eli Lilly, responsible for leading and directing process engineers in a new advanced manufacturing facility. The role involves building the engineering team and organization, developing business systems, supporting project delivery, and ensuring compliant GMP manufacturing operations for peptide products. Key responsibilities include hiring, coaching, setting standards, managing operational expenses, and collaborating with R&D and project teams.

This role is for a Director in Quality Control for Advanced Therapies at Eli Lilly, focusing on the startup and operation of a new, highly advanced manufacturing facility for gene therapy. The position involves leading a laboratory team, ensuring compliance with cGMP, managing daily operations, personnel, and external partnerships, and contributing to the design, commissioning, and testing of new products. The role requires a strong understanding of regulatory requirements and laboratory processes within the healthcare/pharmaceutical domain.

This role focuses on synthetic chemistry and process development for highly potent small molecule APIs within a new advanced manufacturing and drug development center (Lilly Medicine Foundry). The chemist will evaluate and facilitate the transfer of chemical processes from development labs to pilot plant operations, ensuring readiness for early-phase cGMP manufacturing. Responsibilities include performing synthetic chemistry, assessing routes, evaluating safety, ordering materials, setting up analytical methods, analyzing data, summarizing findings, performing familiarization reactions, conducting use-tests, maintaining lab notebooks, authoring technical documents, and contributing to process improvement and troubleshooting.

Scientist/Principal Scientist role focused on parenteral operations, technical transfer, and process validation within a cGMP manufacturing environment in the pharmaceutical industry. Responsibilities include supporting formulation, filling, or visual inspection, maintaining validated states, establishing process metrics, leading improvement projects, and authoring/executing technical documents.

Operator role in pharmaceutical manufacturing, focusing on running processes, troubleshooting, and ensuring quality and safety in medicine production. This is a hands-on role in a regulated environment.

This role is within Bioproduct Research and Development (BR&D) at Eli Lilly, focusing on developing and optimizing biologically derived products. The Principal Engineer will design and execute experiments for cell culture processes, analyze data, author technical reports, and support scale-up and technology transfer. The role also involves evaluating emerging technologies and implementing automation, with a preference for candidates comfortable using AI tools for analysis and design.

This role is for a Maintenance Technician in pharmaceutical manufacturing, focusing on servicing, repairing, and maintaining process and utility equipment to improve uptime, efficiency, and overall equipment effectiveness. Responsibilities include troubleshooting mechanical issues, performing repairs, setting up equipment, documenting actions in CMMS, and working with safety protocols. Requires a high school diploma, minimum 2 years of automation experience, and mechanical skills.

This role is for an Advisor Parenteral Global Product Steward in Genetic Medicines at Eli Lilly. The individual will provide technical stewardship for parenteral drug products and genetic medicines, collaborating with cross-functional teams to support global manufacturing sites for new product commercialization, process improvements, and technology transfers. The role involves shepherding new pipeline products from development into manufacturing, integrating cross-functional information for data-driven decisions, and driving advancements in technical capabilities. It requires a PhD with 5+ years, Master's with 10+ years, or Bachelor's with 15+ years of experience in parenteral product manufacturing, with proficiency in biomolecule and genetic medicine characterization and GMP manufacturing.

This role is for a Business Process Architect focused on Global Supply Chain (Logistics) technology platforms at Eli Lilly. The responsibilities include platform ownership, governance, continuous improvement, vendor management, and project delivery for logistics, transportation visibility, and supply chain intelligence applications. The role requires experience in supply chain technology, IT product ownership, and managing logistics/transportation platforms, with a focus on ensuring operational value and adherence to IT policies.

Laboratory Analyst role in a Next Generation Biotech Drug Substance Manufacturing Facility, focusing on cell-based assay quality control. Responsibilities include executing analytical procedures, maintaining cell cultures, managing digital systems, reporting results, instrument qualification, methodology development/validation, deviation investigations, and inventory management. Requires expertise in GMP/GLP, cell culture, virology, bioassays, and instrument platforms.

This role focuses on developing and implementing analytical and separation methodologies for the characterization and quality control of oligonucleotides and their conjugates in a healthcare setting. It involves lab-based work, method development, instrumentation maintenance, and collaboration with IT for informatics systems.

This role provides technical support for GMP manufacturing of API intermediates and bulk drug substances, utilizing peptide synthesis and purification platforms. It involves understanding scientific principles for scale-up, process improvements, and technical innovation within a cross-functional team. The position requires a Bachelor's degree in scientific disciplines and strong teamwork, technical knowledge, and problem-solving skills.

Senior Laboratory Analyst role at Eli Lilly focused on executing analytical procedures, maintaining digital systems, reporting results, and validating methodologies in a pharmaceutical manufacturing environment. Requires a BSc in Analytical Sciences with pharmaceutical experience and knowledge of various analytical techniques and instrument platforms.