Senior Clinical Project Statistician-ars - Lilly
  • Munster, Munster, Ireland
  • via BeBee.com
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Job Description

Senior Clinical Project Statistician

As a Senior Clinical Project Statistician, you will be a key member of our clinical development team, responsible for designing and analyzing clinical studies to bring life-changing medicines to those who need them.

About Eli Lilly Cork

Eli Lilly Cork is a global healthcare leader headquartered in Indianapolis, Indiana, with a talented diverse team of over 1,600 employees across 38 nationalities. We deliver innovative solutions across various Business Service functions, including Finance, Information Technology, Medical, Clinical Trials, and more.

Key Responsibilities

  • Collaborate with study personnel to provide input on study protocol, design studies, and write protocols for the conduct of each study.
  • Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.
  • Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
  • Perform peer-review of work products from other statistical colleagues.
  • Collaborate with team members to write reports and communicate results.
  • Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings.

Requirements

  • M.S., Ph.D., in Statistics or Biostatistics and 5 years experience.
  • Proficient in statistical programming languages/software such as SAS, R, Spotfire, Win BUG, etc.
  • Interpersonal communication skills for effective customer consultation.
  • Teamwork and leadership skills.
  • Technical expertise and application with working knowledge of experimental design and statistical analysis.
  • Self-management skills with a focus on results for timely and accurate completion of competing deliverables.
  • Resource management skills.
  • Creativity and innovation.
  • Demonstrated problem solving ability and critical thinking.
  • Business process expertise associated with critical activities (e.g., regulatory submissions).

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