Eli Lilly and Company

Data Scientist Advanced Analytics

Job description

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.

PTA Data ScientistAdvanced Analytics And Data SciencesHow 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 Sciences 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 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:
  • Partner with key business partners and work within team to identify, scope, and execute predictive analytic efforts that leverage data to answer business questions, solve business needs, and add business value
  • Work on challenging problems across the Pharmaceutical value change such as Discovery Research, Supply Chain, Manufacturing, Finance, Clinical Trials.
  • 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
  • Stay current with respect to new analytical methods in the area of predictive analytics, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
  • Agility and flexibility to work with very diverse problems and business partners
  • Ability to work with diverse data sources and data typesBasic Qualifications:
  • Masters in Statistics, Economics, Operations Research, Data Sciences, Engineering, or quantitative related field
  • Deep and broad knowledge of Data Science methods and tools including model building principles, machine learning, and best practices.oForecasting, ARIMA, Exp smoothingoTime series DNN, Neural net familiarityoRandom Forests, Unsupervised/Supervised learning
  • 5+ years of experience working as a Data Scientist in industryAdditional Information:
  • Strong in R and SQL, Python is a good to have
  • Strong communication skills
  • 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 analytical, computational and scientific advances to maximize your impact.
  • Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients.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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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 ( Lilly_Recruiting_Compliance@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 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.

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