June 19 2017
Life Sciences
Position Type
Full Time
Organization Type
Job Type
As a Statistician-Computation, you have the opportunity to partner with experts in statistics, data sciences, medical, regulatory, and clinical to lead computational analytics in clinical research. You will understand the patient and business needs to deliver high quality information quickly and reliably through excellent execution and innovation. Within Lilly's culture that values analytics and data-driven decisions, you will be part of the team that makes important contributions to patients' lives.
    Creativity and leadership to bring better solutions to our medical researchChallenge yourself and others to be a life-long learner and always looking for better ways to deliverBe accurate and creative in communicating resultsStay current with rapidly changing data, analytics, technologies, and approachesBe a leader - speak up, exert influence to create positive change
Basic Qualifications
    Master's degree in Statistics or Biostatistics or relevant fields with 3+ years of experienceQualified 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.
Additional Skills/Preferences
    Proficiency in statistical programming languages/software such as SAS, R, Spotfire, WinBUG.Continued technical growth and application of advanced statistical knowledge. Experience with pharmaceutical industry standards such as ICH guidelines, SDTM, ADaM, CDISC, and CDASH.Work and manage external vendors as well as third party organizations to provide oversight to outsourced work.
  • 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.
  • Make the impossible possible in your quest to make life better.
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.