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Director Statistical Programming information

See Washington salary details

$173.9K

$317.3K

$389.6K

How much do director statistical programming jobs pay per year?

As of Jun 29, 2026, the average yearly pay for director statistical programming in Washington is $317,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $295,000.00 and $365,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Statistical Programming, and why are they important?

To thrive as a Director of Statistical Programming, you need advanced expertise in statistical analysis, programming languages such as SAS or R, and a strong background in clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory submission processes, CDISC standards, and project management tools is essential, as are relevant certifications like SAS Certified Professional. Leadership, effective communication, and strategic thinking are key soft skills for managing teams and collaborating across departments. These skills ensure high-quality data outputs, regulatory compliance, and successful execution of complex clinical development projects.

What Is the Job of a Director Statistical Programming?

The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

How does a Director of Statistical Programming typically collaborate with cross-functional teams in a pharmaceutical or biotech company?

A Director of Statistical Programming regularly works with biostatistics, clinical data management, regulatory affairs, and medical writing teams to ensure that statistical deliverables meet project timelines and regulatory requirements. They coordinate programming efforts across multiple studies, provide leadership and mentorship to programming staff, and help resolve technical or resource-related challenges. Effective collaboration is essential to streamline workflows, maintain data integrity, and ensure clear communication of statistical results within the organization.

What does a Director of Statistical Programming do?

A Director of Statistical Programming oversees teams responsible for the programming and analysis of clinical trial data, ensuring the accuracy and integrity of statistical outputs. They set departmental strategies, manage resources, and ensure compliance with regulatory requirements and industry standards. This role also involves collaborating with other departments, such as biostatistics and clinical operations, to support the successful delivery of statistical analyses for drug development and regulatory submissions. They play a key leadership role in mentoring staff and advancing programming processes and technologies.
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Director Statistical Programming jobs near you
Infographic showing various Director Statistical Programming job openings in Washington as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $317,294 per year, or $152.5 per hour.

Associate Director Statistical Programming (Oncology)

BioNTech SE

Gaithersburg, MD • On-site, Remote

Other

Posted 20 days ago

Key responsibilities

  • Manage internal programmers and external vendors to maintain quality, consistency, and compliance with CDISC standards and regulatory requirements.

  • Review, validate, and troubleshoot SAS/R programs for data transformation, analysis, and reporting, ensuring accuracy and performing quality control in collaboration with Biostatistics and Data Management teams.

  • Serve as the primary programming point of contact for study teams and partner with Biostatistics, Clinical Operations, and Regulatory Affairs to interpret analysis requirements and prepare submission-ready materials.

Job description

Mainz, Germany; Cambridge, US; Gaithersburg, US; London, United Kingdom; Munich, Germany   |   full time   |   Job ID: 11350 

About the role:


As Associate Director Statistical Programming you will be responsible for working with the Portfolio lead to implement global statistical programming strategy to enable successful project deliverables as well as for leading statistical programming deliverables (e.g., SDTM/ADaM datasets, tables, listings, figures) for assigned studies, ensuring alignment with protocols, statistical analysis plans (SAPs), and timelines.


Your main responsibilities are:

  • Manage internal programmers or external vendors (CROs) to maintain quality, consistency, and compliance with CDISC standards and regulatory requirements
  • Hands-on review, validation, and troubleshooting of SAS/R programs for data transformation, analysis, and reporting. Ensure accuracy of efficacy/safety outputs, perform quality control (QC), and resolve discrepancies in collaboration with Biostatistics and Data Management teams
  • Serve as the primary programming point of contact for study teams and partner with Biostatistics to interpret analysis requirements, with Clinical Operations to address data issues, and with Regulatory Affairs to prepare submission-ready materials (e.g., ISS/ISE, CSR appendices)
  • Manage relationships with outsourced programming partners (CROs), including scope negotiation, timeline oversight, and quality audits. Anticipates resource needs and monitor resource allocation across studies to balance workload and ensure deliverables meet deadlines
  • Develop and implement standardized macros, tools, or workflows to improve efficiency across studies
  • Train junior programmers and CRO staff on BioNTech standards, best practices, and emerging regulatory guidance (e.g., FDA/ICH updates)
  • Provide programming support to the regulatory submissions including data submission package and define.xml development

What you have to offer:

  • Bachelor's degree in Statistics, Mathematics, Computer Science or related discipline, advanced degree preferred
  • 10+ years (5+ years for advanced degree) experience in a pharmaceutical industry, CRO or another clinical research setting
  • Excellent knowledge of statistical programming including SAS/Base, Macro, STAT, GRAPH, SQL, etc.
  • Solid understanding of FDA, EMA, ICH, and global regulations and guidelines
  • Oncology and project management experience is required
  • Strong interpersonal skills in addition to exceptional written and oral communication skills commensurate with the need to work closely with CROs, investigators, consultants, and team members across functions
  • Ability to work in a fast-paced, dynamic, and a team environment

Your benefits and remuneration:

If the position is filled in the US, the Expected Pay Range is XXX,XXX/year to XXX,XXX/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities. 
Compensation at other locations may vary significantly. 

BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate's qualifications and experience.

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.

How to apply:

Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.

Please note:

Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.

We are looking forward receiving your application.

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