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Principal Statistical Programmer Jobs (NOW HIRING)

Provides specifications and directions to the clinicians/statistical programmers. * Supports the ... Roles below the Principal level require candidates to possess unrestricted U.S. work authorization ...

Senior Principal Statistician

Mason, OH · On-site

$81K - $100K/yr

This individual will be responsible for statistical programming deliverables: SAP, derived datasets, Tables, Figures and Listings. The Senior Principal Statistician will establish and ensure ...

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How much do principal statistical programmer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for principal statistical programmer in the United States is $84.56, according to ZipRecruiter salary data. Most workers in this role earn between $72.84 and $97.60 per hour, depending on experience, location, and employer.

What is a principal statistical programmer?

A Principal Statistical Programmer is a senior-level professional responsible for developing, validating, and maintaining statistical programs used in clinical trials and regulatory submissions. They ensure data accuracy, adherence to industry standards (such as CDISC), and compliance with regulatory requirements. They collaborate with statisticians, data managers, and clinical teams to analyze and report trial results. Additionally, they may mentor junior programmers and contribute to process improvements in statistical programming workflows.

What are the typical daily responsibilities of a principal statistical programmer in a clinical research setting?

As a Principal Statistical Programmer, your daily responsibilities often include developing, validating, and maintaining complex statistical programs to support clinical trial data analysis and regulatory submissions. You may lead programming teams, mentor junior staff, and act as a technical expert on study projects, collaborating closely with statisticians, data managers, and clinical teams. The role frequently involves reviewing statistical analysis plans (SAPs), generating data listings and summary tables, and ensuring adherence to industry standards such as CDISC. Effective communication and time management are key, as you’ll often work on multiple projects simultaneously, balancing deliverables and troubleshooting technical challenges. This position offers diverse, impactful work where your expertise significantly contributes to the integrity and success of clinical research programs.

What are the key skills and qualifications needed to thrive in the principal statistical programmer position, and why are they important?

To thrive as a Principal Statistical Programmer, you need advanced expertise in statistical programming (typically with SAS or R), a strong understanding of clinical trial data, and a degree in a relevant field such as statistics, mathematics, or computer science. Familiarity with CDISC standards (SDTM, ADaM), regulatory submission requirements, and project management tools is highly valued, and certifications like SAS Certified Advanced Programmer can be advantageous. Leadership, problem-solving, attention to detail, and excellent communication skills are important for managing complex projects and collaborating across multidisciplinary teams. These skills collectively ensure accuracy, regulatory compliance, and successful delivery of statistical programming support within clinical research environments.

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Infographic showing various Principal Statistical Programmer job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $175,884 per year, or $84.6 per hour.

Principal Statistical Analyst

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Re-posted 23 days ago


Job description

The Opportunity:

Position requires 14+ years of Statistical Programming experience with exploratory-stage oncology clinical trials, providing programming support and oversight of one or more clinical programs (early or late phase) within Statistical Programming function. In addition to hands-on Programming, this position requires providing oversight and programming support and guidance for internal deliverables and regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Based on company needs, this position will be required to lead one or more early Phase or late phase studies/programs. Specific responsibilities include:

  • Effective collaborating with cross functional teams to provide programming timelines for various deliverables.

  • Provide SAS Programming technical support and guidance to programming team.

  • Oversight/participation in any internal/mock or regulatory authority audits.

  • Timeline and vendor management for deliverables, including submission-related activities,  complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).

  • Oversee the programming support for relevant deliverables, such as Investigator Brochures, publications, US and ex-US regulatory submissions, including CDISC compliant datasets (SDTM, ADaM) and data documentation, Reviewer's Guide, TLFs, Statistical Analysis Plans (study specific, ISS, ISE, Exposure-Response), blank and annotated CRFs, and actual patient CRFs.

  • Hands-on programming and management of in-house deliverables including but not limited to Dose Committee meetings, Board of Director meetings, Exploratory Analysis, etc.

  • Oversight and Verification Review of documents, spreadsheets, slides for in-house presentations and external publications.

Titles may vary based on candidate experience.

Required Skills, Experience and Education:

  • 14+ years of Statistical Programming experience with early or late phase oncology trial studies.

  • BS/BA degree or other suitable qualification with relevance to the field.

  • Experience leading one or more statistical programming contractors, and programming vendors.

  • Proficiency in providing hands-on SAS Programming support for production or validation of analysis datasets, tables, listings and figures.

  • Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.

Preferred Skills:

  • A demonstrable record of strong leadership and teamwork.

  • Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.

  • Experience working in a small to mid sized biotech/pharma environment.

  • Experience collaborating on development of processes, SOPs and guidance documents for the Statistical Programming function. 

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