Advisor - Scientific Digital Solutions

Scientist Engagement & Program Delivery

• Work closely with IT/Digital teams for design, development, and deployment of front-end data analysis solutions for BioTDR scientists.
• Gather requirements and translate scientific needs into prioritized solution briefs for IT/Digital partners.
• Define roadmaps, measurable deliverables, report progress to leadership.
• Represent the team in cross-functional forums, vendor engagements, and BioTDR adoption efforts.

AI, Prototyping & Solution Validation

• Identify and scope opportunities to embed LLM and agentic AI capabilities into scientific workflows.
• Build lightweight proof-of-concepts and run structured pilots with scientist end users before full build commitment.

Platform Strategy, Adoption & Improvement

• Contribute to build-vs-buy assessments, vendor evaluations, and technology roadmap planning.
• Design and implement user adoption programs including onboarding, training, and feedback loops.
• Drive improvement cycles using usage analytics and user feedback.

• B.S., M.S., or PhD, in Biological Sciences, Chemistry, Computational Biology, Bioinformatics, or related field.
• B.S (with 10+years), M.S(with 5+ years) or PhD (with 2+ years) in pharmaceutical or biotech R&D.
• At least one year experience at the interface of scientific research and digital/IT delivery, * Proven experience in biologics domain (antibody engineering, SAR analysis, assay data interpretation) with a scientist-centric approach for designing intuitive, accessible tools.
• Fluent communicator across scientific, engineering, and business functions; proven ability to translate scientist needs into actionable briefs for IT/Digital teams.
• Demonstrated experience leading cross-functional teams through matrix structures with end-to-end program ownership.
• Familiarity with scientific informatics platforms such as (LiveDesign, ENPICOM, D360, Genedata, Benchling, Dotmatics, or equivalent LIMS/ELN).
• Working fluency in LLM and agentic AI frameworks (Claude API, MCP, LangChain) with the ability to distinguish scientific value from hype.
• Track record defining KPI frameworks and implementing user adoption programs in a regulated R&D environment.
• Business acumen to connect digital investment to scientific outcomes and communicate trade-offs clearly to stakeholders.

Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is

$138,000 - $202,400

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

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.