Lilly Data Engineer-AADS in Indianapolis, Indiana
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 Analytical and Data Sciences organization where you’ll have the opportunity to make an impact on the lives of patients.
Our Advanced Analytical 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 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 include:
Streamline and prepare data for analysis through understanding of data flow and integration
Creating and driving standards for data capture, storage, and transformation
Partner with key business partners and work within team to identify, scope, and execute analytic efforts that leverage data to answer business questions, solve business needs, and add business value
Maintain a broad understanding of the pharmaceutical industry (from discovery to commercialization) and be fully engaged with 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
Proficiency with one or more relevant programming languages such as R, SQL, SAS, Python, C++ Deep knowledge of database structures
Strong communication skills
Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.
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.
Data Engineer - Advanced Analytics and Data Science
Master in any of the following: Statistics, Computer Science, Biostatistics, Operations Research, MIS or related areas OR a Bachelors in Statistics, Computer Science, Biostatistics, Operations Research, MIS, or related areas with at least 2 years of related working experience
Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.
Lilly is a global health care leader that unites caring with discovery to make life better for people around the world. For more than a century, we have stayed true to a core set of values—excellence, integrity, and respect for people—that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities. We also are committed to investing in our employees and supporting a culture of well-being —through competitive pay, comprehensive employee benefit programs, and training and development resources.
We’re doing extraordinary things. Join us and you could be, too!
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