Job Title : Associate Director Data Standards & Statistical Programming
Job Description
The Associate Director of Data Standards & Statistical Programming is tasked with planning and tracking statistical programming activities, including SAS macro development at both the program and study levels. This role is pivotal in overseeing and managing the workflow of clinical data listings, summary tables, figures, and files. The position supports Biostatistics and Data Management teams to ensure standard operating procedures (SOPs) and departmental resources are kept current.
Responsibilities
- Plan and track statistical programming activities, including SAS macro development at both program and study levels.
- Coordinate tasks across multiple studies within a program, collaborating with CRO, Biostatistics, and Data Management on key deliverables.
- Ensure the latest CDISC standards are implemented and adhered to.
- Design, develop, and validate computer programs to analyze clinical data.
- Define departmental standards and SOPs and manage the workflow of clinical data listings, summary tables, figures, and files.
- Mentor junior programmers assigned to the project.
- Manage all statistical programming activities at program and study levels.
- Oversee the work of programmers to ensure high-quality and accurate results.
- Act as a liaison between Statistical Programming, Data Management, and Biostatistics to optimize workflow and outcomes.
- Exercise independent judgment in developing SOPs, Work Instructions, and Processes to produce high-quality results.
- Perform statistical analysis to interpret clinical trial results.
- Create SDTM, ADaM, SAS transport files, , Pinnacle 21 reports, and reviewer guides for electronic submissions worldwide.
- Generate safety and efficacy tables, listings, and graphs using Base SAS, SAS / STAT, SAS / Graph, SAS / SQL, and SAS / ODS.
- Develop dataset specifications and review TLF Shells.
- Review Data Management Plan, Data Validation Plan, and edit check specifications.
Essential Skills
MS in Mathematics, Statistics, Computer Science, or equivalent.12+ years of statistical programming experience in the Bio-Pharma industry using SAS for clinical trial data analysis in Phase I / II / III trials.At least 8 years of experience using CDISC SDTM and ADaM standards.Minimum of 4 years of experience in oncology clinical trials, using RECIST to derive key primary and secondary endpoints.Experience in developing datasets and outputs for integrated summaries (ISE / ISS) as a statistical programming lead on NDA filings.At least 4 years of experience in fast-paced small or medium biotech environments.Solid knowledge of SAS programming language, with strong skills in SAS Base, SAS / Macros, SAS / Graph, and SAS / Stat.Proficiency in SAS programming and statistical experienceAdditional Skills & Qualifications
Knowledge of R programming and / or Python is a plus.Work Environment
This position offers a remote work environment based in the Pacific Standard Time (PST) zone.
Job Type & Location
This is a Contract position based out of South San Francisco, CA.
Pay and Benefits
The pay range for this position is $95.00 - $115.00 / hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following :
Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan – Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off / Leave (PTO, Vacation or Sick Leave)Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Feb 19, 2026.