Lilly Research Scientist - Predictive and Text Analytics (PTA – AADS) in Indianapolis, Indiana
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 35,000 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.
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.
You will be part of a growing and dynamic team of advanced analytics professionals whose main goal is to help our business, finance, and research leadership partners achieve their business/scientific goals through advanced decision analytics. Key responsibilities include:
Partner with business/research teams to identify, scope, and execute analytic efforts that answer business/scientific questions, solve business/scientific needs, and add value
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 data
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 with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
- Ph.D. in Statistics, Econometrics, Operations Research, Computer Science, Engineering or closely related field OR masters in Statistics, Econometrics, Operations Research, Computer Science, Engineering or closely related field with at least 6 years of relevant work experience post-degree.
6 years of relevant work experience preferred
Deep and broad knowledge of statistical modeling and data mining methods and tools
Proficiency with analytic tools (R, Python, etc.)
Interpersonal communication skills for effective customer consultation
Teamwork and leadership skills
Self-management skills with a focus on results for timely and accurate completion of competing deliverables
Make the impossible possible in your quest to make life better.
Bring Analytics to life by giving it zeal and making it applicable to our business.
Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact.
Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.
For internal employees, if you are currently in a technical path role, but outside of the posting band, you may apply. You will be hired at your current level. For example: Current P4 (tech ladder), Posting R1-2 tech ladder, hire will occur at P4
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.
As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company. If you would like to request an accommodation for medical or religious reasons, you may do so at email@example.com.
At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!