ML Research Scientist - Large Molecule Discovery

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.

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

$142,500 - $228,800

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.

ML Research Scientist - Large Molecule Discovery

As a research scientist in Large Molecule Discovery, you will develop and implement generative AI models for therapeutic protein design. Ideal candidates will have the mathematical maturity to propose novel ML architectures and the programming skills to quickly implement and validate these ideas in-silico prior to wet-lab testing.

How You'll Succeed: 

• Design and implement enterprise-level generative AI models for protein drug discovery-

• Collaborate with wet-lab experimentalists to validate models and designs in the lab

What You Should Bring:

• Familiarity with state-of-the-art ML models relevant for protein modeling: generative models (diffusion, flow-matching, etc), language models (transformers), multimodal learning, geometric deep learning, graph representation learning, SE3 equivariant architectures, etc.

• Deep mathematical expertise: linear algebra, probability theory, optimization theory, group theory, (stochastic) differential equations, etc

• Experience working with high performance GPU clusters

• Previous expertise with protein modeling and biology domain knowledge are highly desirable but not required.

• Superb communication and presentation skills

• Ability to work in a fast-paced, collaborative environment

Your Basic Qualifications: 

• PhD in computer science, physics, mathematics, or related field

• Relevant publications from top tier conferences/journals e.g. Neurips, ICML, ICLR, etc.

• Strong programming and mathematical skill

• Experience with python and ML relevant libraries especially pytorchs

Additional Information: 

• Position located in Indianapolis, Indiana working in a hybrid model

• Up to 10% travel may be required depending on project

  
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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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 an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, 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 help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

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.

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