Principal Statistical Programmer - Oncology

Discipline: Biometrics
Job type: Permanent
Salary: £125000 to £150000
Contact name: Dan Sidell

Contact email: dan.sidell@rbwconsulting.com
Contact phone: (617) 982 1238
Job ref: 17056
Published: 20 days ago
Expiry date: 07 October 2021

A leading SAS technology company and one of the world’s largest clinical biostatistics R&D organizations based in the northeast area is looking for a Principal Statistical Programmer to join their Oncology department!

This role will be crucial in assisting our client in continuing to shape the future of drug development. This company is going through a phase of exponential growth and needs a Principal statistical programmer to join their FSP division.

Essential Job Functions:

  • Provide significant technical expertise in all phases of programming support, developing automated reports, and preparing submission data packages.

  • Support Statistical Programming efforts for multiple large scale/complex drug and vaccine projects.

  • Develop and execute on statistical analysis and reporting deliverables.

  • Utilize global and TA standard and follow departmental SOPs and Good Programming practices.

  • Utilize strong Project management principles to engage key stakeholders and provide leadership at a protocol level.

  • Must be able to develop and oversee complex programming algorithms.

  • Utilizing expertise in CDISC and ADaM.

  • Will provide statistical programming for both early and late stage clinical trials.

  • Work with enriched/post processed datasets

  • Formulate protocol and therapeutic area specific TFL’s

Requirements for you to have:

  • Bachelor’s degree or higher in Statistics, Computer Science, Mathematics or a related discipline.

  • Minimum of 8-10 years of SAS Programming experience within clinical trials in the Pharma or Biotech industry.

  • 5+ years of experience in a study lead role working across cross functional teams.

  • Strong QC and validation experience of other programmer’s work.

  • Expertise in implementing CDISC SDTM/ADaM standards

  • Familiarity with drug development life cycle

  • Experience with submissions utilizing define.xml and other submission documents.