Senior Advisor – AI for Science (ADMET Intelligence)
Company: Eli Lilly and Company
Location: Indianapolis
Posted on: February 20, 2026
|
|
|
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 Title: Senior Advisor
– AI for Science (ADMET Intelligence) Organization Overview Lilly
is a global healthcare leader headquartered in Indianapolis,
Indiana. Our 45,000 employees around the world work to discover and
bring life-changing medicines to those who need them. At Lilly, the
Investigative ADME, Toxicology and Bio-Analytical Research team
focuses on drug discovery using ground breaking science and
technology approaches to treat diseases with poor treatment
options. Position Summary We are seeking a technical leader to
architect the next generation of drug discovery at Lilly. Sitting
at the intersection of AI/ML, Chemistry, and Biology, you will
develop innovative technologies that fundamentally change how we
understand biology, navigate chemical space, and discover drugs.
You will lead the transformation of our discovery engine, and drive
cross-functional programs that integrate computational science into
the day to day decisions in drug discovery. Geography for this
position is flexible. What You Will Do Computational lead for drug
discovery programs, ensuring that computational insights are key
drivers of critical Go/No-Go decisions, rather than just supporting
data. Move beyond "throwing predictions over the fence." You will
work side-by-side with experimentalists to develop active learning
cycles that are practically executable in the lab and statistically
rigorous. Translate sophisticated biological and chemistry
questions into tractable computational problems. Identify specific
bottlenecks in the discovery pipeline, from Hit Identification to
Lead Optimization, where AI/ML can meaningfully increase
Probability of Success (PoS). Partner deeply with medicinal
chemists, DMPK scientists, and biologists to build holistic
optimization strategies. You will ensure your models respect the
nuance of synthetic feasibility and biological relevance. Foster a
culture where technical excellence meets scientific pragmatism. You
will mentor junior scientists not just on code quality, but on how
to integrate AI/ML effectively to real-world drug discovery
challenges. Scout and evaluate external technologies, from academic
breakthroughs to startup tools, integrating the best solutions to
amplify our internal capabilities. Qualifications PhD in a
quantitative discipline (Computer Science, Chemistry, Physics,
Biology etc.) with a strong focus on molecular sciences. You have 3
years of post-graduation industry experience in a drug discovery
environment in driving discovery teams and you understand the life
cycle of a drug project. Solid understanding of medicinal
chemistry, ADME, and Tox principles. You understand why a model
might fail in a real project even if its validation loss is low.
Expert proficiency in modern AI/ML paired with the pragmatism to
know when to use a simple model vs. a complex architecture.
First-author publications in high-impact venues Track-record where
your computational contributions directly influenced the
progression of a molecule or the strategy of a discovery program.
Demonstrated ability to translate complex technical concepts into
strategic value for senior leadership and cross-functional
partners. Lilly is dedicated to helping individuals with
disabilities to actively engage in the workforce, ensuring equal
opportunities when vying for positions. Lilly is dedicated to
helping individuals with disabilities to actively engage in the
workforce, ensuring equal opportunities when vying for positions.
If you require accommodation to submit a resume for a position at
Lilly, please complete the accommodation request form (
https://careers.lilly.com/us/en/workplace-accommodation ) for
further assistance. Please note this is for individuals to request
an accommodation as part of the application process and any other
correspondence will not receive a response. Lilly is proud to be an
EEO Employer and does not discriminate on the basis of age, race,
color, religion, gender identity, sex, gender expression, sexual
orientation, genetic information, ancestry, national origin,
protected veteran status, disability, or any other legally
protected status. Our employee resource groups (ERGs) offer strong
support networks for their members and are open to all employees.
Our current groups include: Africa, Middle East, Central Asia
Network, Black Employees at Lilly, Chinese Culture Network,
Japanese International Leadership Network (JILN), Lilly India
Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ
Allies), Veterans Leadership Network (VLN), Women’s Initiative for
Leading at Lilly (WILL), enAble (for people with disabilities).
Learn more about all of our groups. Actual compensation will depend
on a candidate’s education, experience, skills, and geographic
location. The anticipated wage for this position is $151,500 -
$244,200 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
Keywords: Eli Lilly and Company, Lafayette , Senior Advisor – AI for Science (ADMET Intelligence), Science, Research & Development , Indianapolis, Indiana