Jobs at Eli Lilly and Company

The role involves leading ADME studies for the development of genetic medicines, collaborating with cross-functional teams, and mentoring junior scientists.

Develop scientific software for AI-native drug discovery, building data pipelines, APIs, and lab automation integrations while collaborating with scientists.

Lead laboratory teams in Neuroscience focusing on psychiatric and neurodevelopmental disorders. Develop preclinical biomarker assays, supervise lab scientists, and present findings to leadership.

The role involves hands-on preclinical drug discovery, designing and executing experimental protocols, managing multiple projects, and mentoring associates.

The Director leads Discovery PKPD projects for genetic medicines, develops modeling strategies, conducts studies, collaborates across teams, mentors scientists, and communicates findings.

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

The role involves developing synthesis-aware virtual screening workflows for small-molecule drug discovery, integrating various modeling and design strategies.

Lead lab-facing late-stage LNP process development: design and execute DoE to identify CPPs and operating ranges, develop/qualify scale-down models, de-risk and lock Phase 3 processes, support tech transfer and manufacturing readiness, author reports and regulatory documents, troubleshoot equipment, and communicate results to cross-functional stakeholders.

The Postdoctoral Scientist will manage and analyze CNS neuroimaging datasets, optimize imaging strategies, and collaborate on drug delivery strategies within a pharmaceutical research context.

The role requires analyzing large datasets for biomarkers, integrating multi-omics data, and developing new statistical methods, collaborating with interdisciplinary teams.

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

The Senior Director - Clinical Research Scientist will drive clinical trial strategy for gene editing therapies, ensuring compliance, patient safety, and scientific integrity while collaborating with cross-functional teams and external partners.

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.

The Territory Manager will engage healthcare providers to promote Lilly's dermatology portfolio, cultivate business relationships, and adapt strategies to meet sales goals in a dynamic healthcare environment.

The role requires leading pharmacometrics strategy, solving complex problems, mentoring team members, and integrating AI/ML into drug development processes.

The position involves developing predictive models for ADMET and PK/PD, enabling biotech partners through clear model outputs, and mentoring junior scientists.

The role focuses on developing and implementing digital strategies using AI and automation in pharmacology and drug development, managing partnerships, and ensuring compliance with industry regulations.

The Director of Statistics leads statistical projects in clinical research, implements innovative methodologies, designs trials, and collaborates with teams to analyze results, ensuring regulatory compliance and contributing to cardiovascular disease treatments.

Lead Methods4Insight to define, validate, and deploy analytical and computational methods for molecule discovery. Build/guide a multidisciplinary team, set evaluation frameworks, prioritize build-vs-buy decisions, fill strategic data gaps, and integrate agent-ready AI capabilities across Data Foundry.