Sr. Computational Statistician - Global Statistics & Data Mgmt

Eli Lilly-posted about 1 year ago
$70,500 - $200,200/Yr
Full-time • Mid Level
Branchburg, NJ
Chemical Manufacturing
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The Sr. Computational Statistician at Lilly plays a crucial role in statistical analysis and data management within the Global Statistics & Data Management team. This position involves collaborating with various stakeholders to develop statistical analysis plans, conducting data analysis, and ensuring compliance with regulatory standards. The role emphasizes the importance of statistical methodology and effective communication of study results, contributing to the overall mission of improving health outcomes through innovative medicines.

  • Collaborate with statistical colleagues and study personnel to provide input to statistical analysis plans, write reports, and communicate results.
  • Select statistical methods for data analysis, author the corresponding sections of the analysis plan, and conduct the actual analysis once a reporting database is created.
  • Collaborate with data management in planning and implementing data quality assurance plans.
  • Maintain proficiency in SAS programming and statistical methodology, applying new and varied methods.
  • Justify methods selected and implement outlined analysis plans effectively.
  • Conduct peer-review of work products from statistical colleagues.
  • Utilize current technologies and available tools for conducting clinical trial analysis.
  • Assist in communicating study results via regulatory submissions and manuscripts, and communicate one-on-one with key customers.
  • Understand relevant disease states to enhance customer focus and collaboration.
  • Ensure replication of tools and systems and stay informed of technological advances.
  • Perform work in compliance with corporate, medical, local, and departmental policies and procedures.
  • Master's degree in Statistics, Biostatistics, or MSPH with concentration in Statistics or Biostatistics.
  • Proficiency in statistical programming languages/software such as SAS, R, Spotfire.
  • Interpersonal/teamwork skills for effective interactions.
  • Technical growth and application with a solid understanding of statistics and statistical software.
  • Self-management skills with a focus on results for prompt and accurate completion of competing deliverables.
  • Creativity and innovation.
  • Demonstrated problem-solving ability and attention to detail.
  • Data analysis, technology, and systems expertise.
  • Eligibility to participate in a company-sponsored 401(k)
  • Pension
  • Vacation benefits
  • Medical, dental, vision, and prescription drug benefits
  • Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
  • Life insurance and death benefits
  • Time off and leave of absence benefits
  • Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
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