Eli Lilly and Company · 1 day ago
Advisor - Agent Research
Eli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana, seeking a scientist-engineer hybrid to deploy AI-driven discovery platforms. The role involves bridging the gap between AI systems and drug discovery workflows while collaborating with research teams to enhance scientific discovery processes.
BiotechnologyHealth CareMedicalPharmaceutical
Responsibilities
Partner with chemists and biologists to translate scientific workflows into agentic systems
Deploy and integrate Agentic AI system into active research programs
Design and implement cloud-native data pipelines connecting lab instruments, databases, and AI models
Support model deployment, inference services, and experiment tracking (e.g., MLflow)
Integrate LLM reasoning with domain tools (RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) to build composite agents that plan, simulate, and execute DMTA tasks
Prototype and iterate rapidly on agent planning strategies, memory systems, and human-in-the-loop patterns
Represent Frontier AI in the broader AI@Lilly and external AI research community: publish, give talks, review papers, and scout emerging trends
Evaluate external vendors, open-source projects, and academic collaborations for strategic fit
Qualification
Required
PhD (or MS + 2 yrs / BS + 4 yrs equivalent experience) in Bioinformatics, Cheminformatics, Computer Science, or related discipline with demonstrated wet-lab collaboration or experience
Approximately 1-2 years of demonstrated experience of applying AI/ML in scientific discipline such as biology, chemistry, neuroscience, or a related field (industry postdoc counts)
Preferred
Proficiency in Python and deep experience with ML/Deep Learning frameworks (e.g., PyTorch, Tensorflow, JAX, HuggingFace)
Hands-on experience building agentic AI systems (e.g., LangChain, OpenAI Agents SDK)
Experience designing and shipping end-to-end systems in cloud environments (backend APIs, lightweight frontends, and agentic platforms) - GitHub portfolio a plus
Strong DevOps/engineering skills: version control (git), containerization (docker, kubernetes), GitOps + CI/CD practices, data systems (Redis, SQL/NoSQL), unit testing, frontend (streamlit, flask)
Working knowledge of cloud-native (AWS/Azure) pipeline architectures including Nextflow, Argo on Kubernetes
Familiarity with MLOps, including model versioning, data versioning, and continuous integration/continuous deployment for ML systems
Experience with LLM post-training, fine-tuning, or RLHF
Demonstrable research experience, evidenced by contributions to projects, and ideally through publications in relevant ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
Experience mentoring and guiding junior researchers or engineers
Benefits
Company bonus
Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
Eli Lilly and Company
We're a medicine company turning science into healing to make life better for people around the world.
H1B Sponsorship
Eli Lilly and Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (514)
2024 (236)
2023 (167)
2022 (133)
2021 (57)
2020 (52)
Funding
Current Stage
Public CompanyTotal Funding
$6.5M2024-02-12Post Ipo Debt· $6.5M
1978-01-13IPO
Leadership Team
Recent News
Business Standard India
2026-01-14
2026-01-14
pharmaphorum
2026-01-14
Company data provided by crunchbase