Lilly Research Scientist-AADS – Intern to Full-time 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 39,000 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.
How would you like a career where you get to use your best analytical skills to make a substantial difference in the well-being of people across the globe? Bring YOUR skills and talents to Lilly and our Advanced Analytics and Data Science organization where you’ll have the opportunity to make an impact on the lives of patients.
As an innovation driven company we 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.
Our Advanced Analytics and Data Science 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 in 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!
Key responsibilities for include:
Partner with various business areas to identify, scope, and execute analytic efforts that answer business questions, solve business needs, and add business value
Maintain a broad understanding of the pharma industry and be fully engaged with business 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 Computer Science, Statistics, Computer Engineering, Electrical Engineering, Information Science, Information Engineering, Econometrics, Computer Science, Operations Research, Mathematics/Applied Math, or related field
Successfully completed a Lilly Internship
Advanced knowledge of machine learning methods in processing unstructured data
Expertise in programming languages such as Java, Python, and R
Proficiency in NLP and data mining open source tools
Experience in deep learning frameworks
Deep and broad knowledge of statistical modeling and data mining methods and tools.
Proficiency with analytic tools (R, Python, C++).
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.
Publications in leading journals or conferences
Self-driven and high achiever
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.
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!
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