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.

Our Advanced Analytics and Data Sciences organization is growing to support the entire Lilly enterprise, from Discovery to Development to Manufacturing and Commercialization of our medicines. To solve the complex problems of a global business and the ever-evolving data and analytics landscape, the organization generally requires advanced degrees in statistics, mathematics, econometrics, operations research and computer science. We are playing a leading role in transforming the way the company discovers and develops new treatments, identifies personalized treatment regimens, drives efficiency in our operations and optimizes our commercialization of new products. We are doing this with an emphasis on the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more. Whether you are intrigued by the research and development of new medicines or optimizing our commercialization/business, or driving efficiency into our operations, we have a position for you. You will be encouraged to identify important business problems and to further your own research interests in these areas, including presentations and publications at professional meetings.

Come join us on our amazing journey to make life better!

How You Will Succeed:

• Partner with business/research teams to identify, scope, and execute analytics efforts that answer business/scientific questions and deliver value to patients

• Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research 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 being done, and be willing to seek feedback from other team members about your own work

• Stay current with respect to data science methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected

• Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions

Your Basic Qualifications:

• M.S. or higher in Statistics, Econometrics, Operations Research, Computer Science, Engineering, Mathematics or closely related field

• At least three years of hands-on optimization or simulation experience post education

• Proficiency with relevant programming languages (such as R, Python, SQL, Matlab, Java, C++, etc...)

What You Should Bring:

• Deep and broad knowledge of optimization, simulation, and machine learning methods

• Internal or external consulting experience

• 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

• Advanced knowledge of machine learning methods in combination with simulation and optimization

• Proficiency with algebraic modeling languages such as Pyomo, JuMP, GAMS, or AIMS.

The Advanced Analytics and Data Sciences (AADS) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, and predictive analytics to identify and solve high-value business questions. This team is leading the next-generation data environment to manage data as a strategic asset across the company, providing unprecedented insights and solutions to enable significant value transformation across the biopharma value chain.

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Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( LillyRecruitingCompliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.

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