Senior Statistical Programmer

The Senior Statistical Programmer Performs the role of the Lead Statistical Programmer. Plan, execute and oversee all programming activities on a study, including but not limited to, resource estimation, working within budget, meeting timelines, maximizing quality, interaction with other departments and the client, etc.
What to Expect

• Develop and maintain SAS programs to create complete SDTM and ADaM datasets and TFLs, and perform QC of SDTM, ADaMs and TFLs
• Produce Define XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs
• Develop and/or lead the development of complex specifications for SDTMs and ADaM
  datasets and contribute to the development of and Client standards
• Review SAPs and TFL shells from a programming perspective for studies and advise on the development of complex TFL shells from a programming perspective
• Mentor less-experience programmers in the processes around SDTMs, ADaMs and TFLs
  ensuring adherence to department practices and processes
• Present and share knowledge at department meetings
• Respond to QA and client audits and support qualification audits
• Contribute to proposal activities and participate in bid defenses meetings in order to win new business
• Continually identify and suggest ways to improve the efficiency, quality and productivity of statistical programming

Education/Qualifications

• Bachelor's degree, preferably in mathematics, statistics, computing, life science, health science, or related subjects.
• Experience and/or education plus relevant work experience, equating to a Bachelor's degree

Experience

• Typically 4 years of SAS® programming experience in the CRO or Pharmaceutical industry, or an equivalent combination of education and experience to successfully perform the key responsibilities of the job
• Experience as lead statistical programmer on complex studies in clinical research
  Knowledge in all aspects of clinical trials from initial study set-up to study completion with an excellent understanding of the roles and responsibilities of all related disciplines, e.g. Biostatistics and Clinical Data Management.
• Broad knowledge of all CDISC requirements related to SDTM and ADaM, including define.xml, Reviewer's Guide and submission standards

Labcorp is proud to be an Equal Opportunity Employer:

As an EOE/AA employer, the organization will not discriminate in its employment practices due to an applicant's race, age, color, religion, sex, national origin, sexual orientation, gender identity, disability or veteran status.

For more information about how we collect and store your personal data, please see our Privacy Statement.