Senior Statistical Programmer

Senior Statistical Programmer 

PRIMARY PURPOSE OF POSITION:

This position is responsible for applying advanced programming techniques to support the development and validation of statistical programs to be used for monitoring, analyzing and reporting of clinical trials data for regulatory submissions and publications across multiple disease areas.

 

MAJOR DUTIES OF POSITION:

  • Adheres to departmental procedures and practices, technical and industry standards and programming concepts and conventions during all aspects of work
  • Applies advanced level programming techniques to the planning, implementation, and maintenance of programs for the monitoring, reporting, and analysis of clinical trials
  • May serve as lead programmer, with responsibility for the timeline adherence and quality of all programming deliverables, for a study
  • May participate in the creation of SDTM/ADaM/TLF specifications, data definition files, and other documentation needed for submission to the regulatory agency.
  • Completes assigned programming tasks and documentation to meet quality and timeline expectations for the project
  • Proactively identifies and resolves, or escalates, issues that could impact the quality or timely completion of a deliverable
  • Participates in monitoring CRO activities and reviewing CRO deliverables as necessary
  • Conducts program verification, identifies bugs and resolves technical problems
  • Able to quickly gain an understanding of the study and processes to allow independent completion of assigned tasks
  • Uses creativity to solve complex programming problems

 

KNOWLEDGE AND SKILL REQUIREMENTS:

  • B.S. and/or M.S. in Statistics, Biostatistics, Computer Science, Biotechnology, or closely related field, with MS in Statistics, Biostatistics, or Computer Science preferred.  Relevant experience can be substituted for education requirement.
  • For M.S. holder, minimum of 5 years of SAS programming experience in pharmaceutical setting is required; for B.S. holder, minimum of 8 years is required. 
  • Strong understanding of clinical trial data and hands on in data manipulation, analysis and reporting of analysis
  • Advanced knowledge of Base SAS including data steps, PROC’s, SAS MACRO and SAS GRAPH
  • Advanced knowledge of SAS/STAT or other statistical software
  • Hands-on experience implementing SDTM and ADaM data standards
  • University level statistics course(s) or equivalent experience in statistics preferred
  • Ability to interpret tabular and graphical clinical data presentations
  • Excellent verbal, written, organizational skills
  • Ability to work independently and make high level decisions as well as work with others as a team

Why Kelly®?

With Kelly, you’ll have access to some of the world’s highest-regarded scientific organizations— providing you with opportunities to work on today’s most challenging, research-intensive, and relevant projects. Our connections can lead you to innovative scientific pursuits you’ll be proud to help advance. We work with 95 of the Fortune 100™ companies, and found opportunities for more than 9,000 scientific professionals last year.

You pursued a career in science to fuel your quest for knowledge and your desire to make the world a better place. Let Kelly fuel your career—connect with us today.

About Kelly Services®

As a workforce advocate for over 70 years, we are proud to directly employ nearly 500,000 people around the world and have a role in connecting thousands more with work through our global network of talent suppliers and partners. Revenue in 2017 was $5.4 billion. Visit kellyservices.com and connect with us on Facebook, LinkedIn and Twitter.

Kelly Services is an equal opportunity employer including, but not limited to, Minorities, Females, Individuals with Disabilities, Protected Veterans, Sexual Orientation, Gender Identity and is committed to employing a diverse workforce. Equal Employment Opportunity is The Law.

Kelly complies with the requirements of the Fair Chance Initiative. A conviction record does not automatically bar individuals from employment.

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