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.

Organization Overview:

At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.

Main Attributes: 

Strong analytical skills Problem-solving skills Excellent communication skills Attention to detail

What You'll Be Doing: 

As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, leveraging generative AI, and identifying insights that can be used to drive business decisions. You will work closely with cross-functional teams across the enterprise to understand business problems, develop hypotheses, and test those hypotheses with data.

How You'll Succeed: 

Develop and implement machine learning algorithms to analyze large data sets Collaborate with stakeholders to understand business problems and provide data-driven solutions Communicate insights and recommendations to technical and non-technical stakeholders Conduct research to identify emerging trends and technologiesManage and prioritize multiple projects simultaneously 

Key Responsibilities: 

Solve complex business problems with advanced analytics and AI/ML methodsDevelop and implement predictive models Communicate insights and recommendations to stakeholders Collaborate with cross-functional teams Stay up-to-date with emerging trends and technologies in data science Ensure data quality and accuracy 

What You Should Bring: 

Proficiency in programming languages such as Python or RExperience with machine learning algorithms and statistical modeling Familiarity with data visualizationStrong problem-solving and analytical skills Excellent communication and presentation skills Ability to work in a fast-paced, collaborative environment  

Your Basic Qualifications: 

Ph.D. in Statistics, Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering or quantitative related field OR Master in Statistics, Computer Science, Computer Engineering or related field with at least 4 years related working experience.Experience with machine learning algorithms and statistical modeling Proficiency in programming languages such as Python or R 

Preferred Qualifications: 

Strong problem-solving and analytical skillsAbility to work with diverse data sources and data types PhD in a relevant field Experience handling and analyzing clinical biomarker data and clinical trial dataExperience working with time-series dataExperience with reinforcement learning Familiarity with cloud computing platforms such as AWS or Azure Strong leadership and project management skills

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.

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