All Of Our Groups
Healthcare
Director,DiscoveryBioinformaticsOncology
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“Director, Discovery Bioinformatics Oncology at All Of Our Groups. Skills: AI/ML strategy, Machine learning, Deep learning, LLM applications. Innovate and execute AI/ML strategy. Build models for target ID/validation”
What You'll Achieve.
Accelerate target identification; Accelerate target validation; Accelerate protein design; Accelerate antibody design; Accelerate data integration; Transform data into hypotheses; Design in silico-to-in vitro loops; Deliver decision-quality insights; Shape discovery roadmap; Scale across programs
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
PhD or MS in STEM field, 5+ years industry experience delivering ML solutions
Nice to Have
Experience leading teams, Experience applying deep learning to biological problems, Experience with Hugging Face, Track record building LLM applications, Software engineering skills, Evidence of scientific leadership
What You'll Do.
Innovate and execute AI/ML strategy
Build models for target ID/validation
Build models for protein design
Build models for biomarker discovery
Establish LLM workflows for knowledge mining
Develop data integration platforms
Integrate imaging data
Integrate knowledge graphs
Drive ontology harmonization
Drive model registries
Advance computational protein design
Leverage sequence models
Leverage graph methods
Operationalize active-learning loops
Lead antibody-siRNA conjugate design
Partner with Biology/Chemistry
Represent computational strategy
Deliver scalable ML systems
Institute model governance
Perform omics analysis
Perform statistical analysis
Ensure data integrity
Ensure FAIR practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Steering committees
Communication Scope
External publish; External present
Full Job Description
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. **Job Summary:** Lead the **AI/ML innovation & deployment** for oncology discovery. This role will architect and operationalize **state‑of‑the‑art machine learning** —including deep learning, foundation models, and LLM‑powered applications—to **accelerate** target identification & validation, protein and antibody design, and multimodal data integration across our discovery pipeline. Partnering closely with biology, chemistry, translational sciences and data hub, you’ll transform heterogeneous molecular and phenotypic data into actionable hypotheses, design in silico–to–in vitro loops, and deliver decision‑quality insights that shape our discovery roadmap. This role also steers platformization efforts for in silico design & advancement of antibody, XDC development and next‑generation data products that scale across programs. **Job Responsibilities:** * **Innovate and execute the AI/ML strategy for discovery.** Build a portfolio of models for target ID/validation, structure‑ and sequence‑based protein design (e.g., antibodies, conjugates), mode‑of‑action inference, and biomarker discovery. Establish retrieval‑augmented and agentic LLM workflows for knowledge mining (literature, patents, internal reports) and protocol/screen design assistance. * **Develop next‑gen data integration platforms.** Integrate bulk & single‑cell transcriptomics, WES/WGS, proteomics, CRISPR screen data, imaging, functional readouts, and real‑world knowle
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