Data Scientist - Lilly Value & Access

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

$64,500 - $182,600

Come help us impact patient lives!

Understanding the U.S. healthcare environment and its complexities is captivating and stimulating. This team works with several Lilly Value & Access (LVA) organizations to bring operationally excellent solutions and art of the possible ideas together to transform the way we work.  Eli Lilly and Company has been a global leader in pharmaceutical innovation for nearly 150 years. Our LVA organization plays a critical role in ensuring that patients have access to life-changing medicines while optimizing revenue streams and preventing revenue leakage. We partner with healthcare payers, policymakers, and providers to develop innovative pricing, reimbursement, and access strategies that maximize value for both patients and the business.

Lilly Value & Access is actively seeking a data scientist to accelerate the delivery of data science solutions for analytics and business purposes. Come join us and make an impact!    

What Will You Be Doing:

As a Data Scientist within LVA, you will help shape data-driven strategies that influence payer negotiations, market access initiatives, and revenue leakage prevention. Your expertise in analytics will drive insights that enhance decision-making, improve patient outcomes, and safeguard financial sustainability. This role is a unique opportunity to leverage cutting-edge data science methodologies in a highly impactful environment.

Key Responsibilities

• Analyze large healthcare datasets, including insurance claims, electronic health records (EHRs), and diagnostics, to improve patient access.

• Design and implement models to forecast market trends, improve patient adherence, characterize payer behavior, and identify revenue risk areas.

• Collaborate cross-functionally with Market Access, Finance, Health Outcomes, and IT teams to integrate data science into strategic decision-making.

• Communicate complex modeling concepts clearly and concisely to business leaders.

• Maintain deep domain knowledge and be fully engaged with teams, bringing an objective voice to the table, and facilitating decisions grounded in analytics.

• Collaborate with other analytics team members to review and provide feedback on the analytics work being done and be willing to seek feedback from other team members about your own work.

• Stay current on emerging data science techniques and healthcare industry trends and champion innovation.

Basic Qualifications

• M.S. or higher in Computer Science, Data Science, Statistics, Mathematics, or closely related field OR B.S. in Computer Science, Data Science, Statistics, Mathematics, or closely related field with at least 3+ years of related working experience.

• Deep and broad knowledge and hands on experience developing machine learning (ML) algorithms, statistical analysis and tools used.

• Experience with Advanced Analytics, AI/ML in cloud environments (e.g., AWS, Azure).

• Strong proficiency with relevant programming languages (such as R, Python, Scala, SQL, C++, etc...)

Additional Skills/Preferences

• Experience with healthcare data including payer claims and rebates.

• Publications in leading journals or conferences.

• Advanced knowledge of machine learning methods in processing unstructured data.

• Experience with end-to-end model deployment.

• Experience with CI/CD, Jenkins, Sagemaker, Github and Automation platforms.

• Experience in deep learning frameworks.

• Ability to communicate with diverse group of business and technical subject matter experts.

• Agility and flexibility to work with very diverse problems and business partners.

• Ability to work with diverse data sources and data types.

• Self-management skills with a focus on results for timely and accurate completion of competing deliverables.

• Strong written and verbal communication skills.

What You Should Bring

• A foundational set of knowledge in communication, leadership, teamwork, problem-solving skills, technical standards, project delivery, and industry knowledge.

• Art of the possible mindset and a sense of urgency.

• Enthusiasm for people, process, technology, and innovation.

• A strong learning agility and curious mind that seeks to understand the LVA business processes and strategy.

• A passion for scaling AI/ML capabilities to drive business outcomes.

Additional Information:

• Position located in Indianapolis, IN.

• Position requires in-office attendance a majority of the time.

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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