Principal Statistical Programmer - Oncology
Location | United States of America |
Discipline: | Biometrics |
Job type: | Permanent |
Contact name: | Dan Sidell |
Contact email: | dan.sidell@rbwconsulting.com |
Contact phone: | (617) 982 1238 |
Job ref: | 17056 |
Published: | over 2 years ago |
Expiry date: | 07 Oct 2021 11:59 |
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.
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