Director / Senior Director – Cheminformatics and Applied AI
Pharmainform
Job description
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. Overview At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. The Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability. Position Summary Lilly’s Early Molecule Discovery (EMD) mission is to identify hits and deliver optimized Leads that advance though Advanced Molecule Design (AMD) into quality drug candidates and, ultimately, breakthrough medicines. The primary measure of success in this band is portfolio-level impact — resolving the hardest scientific questions through hypothesis- and data-driven approaches, delivering the insights that change the trajectory of multiple programs, and building the scientific capabilities that raise the ceiling on what the function can achieve. The Director/Senior Director of Cheminformatics and Applied AI are recognized scientific authorities whose impact extends well beyond individual projects to define platform capabilities, shape discovery strategy, and advance the state of the art within Lilly and across the field. These are not primarily execution roles — they are roles of scientific vision, organizational leadership, and enterprise influence. Key Responsibilities Portfolio Impact: Scientific leadership through direct technical credibility Serve as a recognized expert in cheminformatics and applied AI/ML, who consistently delivers high-impact scientific contributions and strategies that resolve critical project challenges to advances programs through major milestones. Develop and apply cheminformatics, statistical, and AI/ML methods that improve hit identification and hit-to-lead across screening technologies, e.g., DNA-encoded library (DEL), high-throughput screening (HTS), virtual screening (VS), fragment-, and affinity-based approaches, and across modalities, e.g., small molecule, macrocyclic peptide, and molecular glues. Drive the analytical and machine learning methodology development and applications for the DEL platform: enrichment analysis and denoising of selection data, models trained on DEL output, and their extension to VS of ultra-large synthesizable chemical space. Identify hard scientific problems limiting program progress and take personal ownership of driving solutions through rigorous and creative scientific thinking. Stay current with external scientific advances, emerging methodologies, techniques, and enabling technologies and rapidly evaluate, adapt, and deploy those most relevant for advancing program objectives. Enabling: Scientific Influence and Strategic Partnerships Partner with Computational Chemistry and Cheminformatics leadership to define platform-level strategy, resource investments, and organizational priorities for Cheminformatics and Applied AI. Encourage close collaborations and initiatives with computational chemistry, medicinal chemists, Ligand-ID, Biophysics and Chemical Biology cross pillar colleagues and other cross function partners such as ADME, that culminate in the generation of well poised analysis, robust models and testable hypotheses. Serve as a scientific advisor to senior leadership across discovery, therapeutic areas, and technical functions; provide expert guidance across multiple programs; influence portfolio-level decisions through authoritative scientific judgment. Identify and contribute to external innovation opportunities that enhance our ability to deliver quality differentiated hits and leads. Build and leverage external scientific networks e.g. academic collaborators, CROs, technology vendors, professional societies, to access groundbreaking scientific expertise and capabilities. Cultivate cross function collaborations with Discovery & Technology Platforms and Tech@Lilly colleagues to help guide the delivery of transformative digital solutions. Foster an environment that supports open scientific debate and bold, evidence-based decisions; champion integration of complementary fields to improve translational impact across the discovery continuum. Supporting: Team Development and Culture Serve as a role model for scientific excellence at all levels of the organization; establish clear expectations for rigor, independence, innovation, and measurable impact. Actively mentor and develop diverse scientific talent across sites and functions; develop team members' ability to deliver higher-impact science and reinforces curiosity; invest in building the next generation of scientific leaders. Challenge the status quo; Lead complex (cross-functional) initiatives that leverage diverse perspectives, to drive improvement, and accelerate adoption of new scientific approaches. Champion a ONE TEAM, SAME TEAM mindset; exemplify Lilly leadership behaviors and model ground-breaking transparency in surfacing issues that detract from our mission to accelerate the delivery of our portfolio. Safety & Compliance: Model Safety Leadership Through Personal Practice Demonstrate an unwavering commitment to safety-first practice: complete required safety training and raise concerns immediately. Follow all site safety, environmental, and regulatory compliance requirements; actively reinforce a non-negotiable safety-first team culture and drive solution of concerns at the appropriate organizational level. Basic Requirements PhD in Cheminformatics, Computational Chemistry, Chemical Engineering or related field with a minimum of 4+ years of drug discovery experience within a pharmaceutical/biotech setting; or BS/MS with 8+ years of equivalent experience. Additional Preferences Proven ability to provide scientific leadership that shapes organizational capabilities, scientific culture, and strategic direction at the project, platform, and/or portfolio level. Demonstrated drug-hunter experience with a track record of successfully developing, applying, and championing (new) cheminformatics and applied AI/ML technologies to advance discovery programs through major milestones, such as hit ID, hit-to-lead progress.</p
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