Lilly Data Res Scientist - Advanced Computing 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.
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 the rest of the Advanced Analytical and Data Scientists to develop, apply, and implement algorithms to make solution efficient and scalable.
Partner with other scientists to formulate research questions with analytic solutions, such as using dynamic differential equations, and mathematical modeling.
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 machine learning/statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
Demonstrate sufficient understanding of data structure/algorithms.
Highly proficient to expert skills in C++, and deep understanding of computations.
Knowledgeable in parallel computing including GPU, high throughput parallel computing.
Good understanding of numerical analysis, optimization, and algorithm analysis.
Have knowledge in software design, such as design patterns.
Proficient in productivity oriented languages such a Python and R.
Good communication skills with can-do mindset.
Have good track records on software design, package development, such as reputable GitHub account.
Have research experience in numerical analysis, optimization research.
Have high quality publications on advanced computing, such as algorithm development.
Knowledgeable of machine learning and artificial intelligence algorithms.
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.
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.
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!
Data Research Scientist-Machine Learning & AI
Ph.D. in Statistics or Biostatistics
At least 3 months of applied statistical research experience at industry(e.g., internship or full-time employment) OR academic research centers, outside of PhD dissertation
At least one publication on statistical methodology in a top tier journal
At least one oral presentation at a statistical conference
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.
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