
Senior Statistical Programmer
NMDP
full-time
Posted on:
Location Type: Remote
Location: Minnesota • United States
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Job Level
Tech Stack
About the role
- Create SDTM mapping specifications and ADaM data specifications. Perform quality control (QC) review of these documents prepared by others.
- Create SDTM and ADaM define.xml files. Perform QC review of these files prepared by others.
- Use SAS/R to develop final analysis datasets such as datasets per SDTM and ADaM specifications.
- Program analysis deliverables such as tables, listings, and figures (TLFs) as specified in the study-specific statistical analysis plan (SAP), with oversight by Study Statistician(s) or Senior Programmer.
- Collaborate with the Study Statistician(s) to resolve any study-related questions to ensure the programming outputs appropriately reflect the statistical analysis plans (SAP).
- Complete programming in accordance with common industry standards and conventions, statistical requirements and specifications, and/or clinical trial sponsor’s requirements.
- Generate complete and efficient analysis data models following approved dataset designs or specifications.
- Perform validation by acting as double programmer or independent reviewer of analysis datasets and/or statistical output reports generated by other programmers or statisticians.
- Develop programming codes and generate complete and accurate statistical output reports in well-defined formats.
- Develop programs for centralized statistical monitoring or ongoing data review.
- Document data and programming information in accordance with SOPs and guidelines.
- Ensure high quality documentation of codes and programs via meticulous organization of codes and documentation.
- Continuously review programs and code to identify errors, potential corrections, enhancements or system environment changes.
- Use SAS to perform SDTM, ADaM, and table, listing, and figure (TLF) programming, validation and quality control (QC) review.
- Archive clinical trial data (study data tabulation models and analysis data models) and programming information.
- Identify growth areas for the team and present ideas for process improvements to leader(s).
- Proactive contribution to continuous improvement of statistical programming processes and procedures through development of standards, macros, trainings, resources and documentation for the team.
- Educate, train and mentor junior programmers and less experienced statistician team members with technical programming guidance.
- Review the programming work of other team members via validation and ad hoc review.
Requirements
- Proficiency of both R and SAS.
- Thorough understanding of clinical trial reporting process, as well as regulatory reporting requirements including electronic data submissions and CDISC implementation.
- Hands on experience programming within clinical trials and with SDTM/ADaM specifications and programming.
- Experience with the following SAS concepts: Data Step Manipulation, Merge, Sort, Transpose, Reporting (Proc Report), Comparison (Proc Compare), Error Checking (Log resolution), modeling, missing data handling approaches/procedures, figure development.
- Experience developing custom SAS macros and R functions.
- Experience with P21 reporting and DEFINE, SDRG, ADRG development.
- Base or Advance SAS certification preferred.
- In-depth knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.
- Experience and knowledge of clinical data management processes and tools (Medidata Rave and Veeva preferred).
- Occasional overnight travel (2 times/year on average).
Benefits
- NMDP offers regular, full-time employees medical, dental, vision, life and disability, accident/critical illness/hospital, well-being, legal, identity theft and pet benefits.
- Retirement, paid time off/holidays, leave and incentive plans are also offered to eligible employees.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SASRSDTMADaMprogrammingdata manipulationcustom SAS macrosstatistical output reportsdata validationclinical trial programming
Soft Skills
collaborationmentoringprocess improvementattention to detailorganizationcommunicationproblem-solvingtrainingleadershipquality control
Certifications
Base SAS certificationAdvanced SAS certification