Eli Lilly and Company

Research Scientist - Statistics SIC

Location
Indianapolis, IN, United States
Posted
Oct 05, 2018
Ref
44797
Required Education
Doctorate/PHD/MD
Position Type
Full time
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!

Responsibilities

The Statistical Innovation Center (SIC) is a group of statisticians who are driving the use of innovative designs and analyses, and developing capabilities to enable efficient modeling, simulation, and analysis needs. The SIC is looking for statisticians who have experience in clinical trials, Bayesian methods and adaptive designs, complex modeling and simulation, and can lead the development of computational capabilities to enable broader use of innovative methods. The SIC partners with cross-functional scientists in multiple phases of development and ensures design and decision making are improved via efficient tools and capabilities. The SIC seeks statisticians with cross-functional knowledge, excellent communication skills, a commitment to teamwork, and therapeutic expertise in Diabetes, Autoimmune, Oncology and/or Neuroscience. As an SIC statistician, you will have an opportunity to leverage your drug development experience and your experience with complex computational environments to enable improved design of clinical trials and broader use of innovative statistical methodologies.
44797BR

Basic Qualifications
  • Ph.D. in Statistics or Biostatistics
  • At least one manuscript submitted or published in a peer-reviewed journal
  • At least one oral presentation at a statistical conference


Additional Skills/Preferences
  • Proficiency in statistical programming knowledge language/software such as R, Shiny.
  • Proficiency in Bayesian software packages, such as BUGS, JAGS, and/or Stan.
  • Preferred proficiency in trial design software such as nQuery, EAST, FACTS, trial design specific R packages
  • Excellent statistical knowledge and the commitment to keep up to date with current developments in statistics, both as it applies to new methodologies and trial designs and also new statistical trends in Regulatory agencies
  • Excellent oral and written communication skills, and the ability to lead cross-functional teams
  • Ability to develop therapeutic area knowledge in order to maximize impact in trial design
  • Knowledge of Bayesian statistics including application in trial design, modeling, simulation, computational work, and communicating results to both statisticians and non-statisticians
  • Knowledge of adaptive designs and other novel study designs with application to clinical trials
  • 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
  • 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


Additional Information
  • 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