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Remote Director Statistical Programming Jobs (NOW HIRING)

Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices ... Author/review statistics section in the protocol, SAP and DMC charter; Create/review study ...

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In this pivotal role, you will leverage your expertise in statistical programming to ensure the ... This is a remote position, and we are open to candidates based in the United States, Bulgaria ...

Direct experience leading and working in Biostatistics required as well as experience leading Statistical Programming and/or Clinical Data Management. * Extensive knowledge of clinical research ...

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Remote Director Statistical Programming information

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$153.5K

$280.1K

$344K

How much do remote director statistical programming jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote director statistical programming in the United States is $280,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $260,500.00 and $322,500.00 per year, depending on experience, location, and employer.

How does a Remote Director of Statistical Programming typically collaborate with cross-functional teams while managing geographically dispersed staff?

A Remote Director of Statistical Programming often leads a team of programmers who may be distributed across different locations and time zones. Collaboration with cross-functional teams—such as biostatisticians, data managers, and clinical operations—relies heavily on clear communication through virtual meetings, shared project management tools, and regular status updates. The director is responsible for aligning programming deliverables with project timelines, ensuring quality standards, and fostering a cohesive team environment despite the remote setup. Strong leadership and proactive engagement are essential to overcome challenges like time zone differences and maintain alignment with overall project goals.

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

To thrive as a Remote Director Statistical Programming, you need advanced expertise in statistical programming (typically SAS and R), a strong background in biostatistics or related fields, and significant experience in clinical trial data analysis, usually supported by a relevant degree. Mastery of programming tools, regulatory submission standards (such as CDISC SDTM/ADaM), and familiarity with data management systems are crucial, along with relevant certifications being advantageous. Leadership, strategic thinking, and exceptional communication skills help you effectively manage teams and collaborate across global, cross-functional groups. These skills ensure accurate, regulatory-compliant analyses that drive successful clinical development and organizational goals.

What is the difference between Remote Director Statistical Programming vs Remote Statistical Programming Manager?

AspectRemote Director Statistical ProgrammingRemote Statistical Programming Manager
CredentialsTypically requires advanced degrees (e.g., MS, PhD) and extensive experienceRequires similar degrees and experience, but slightly less senior
Work EnvironmentLeadership role overseeing multiple teams, strategic planningManages teams directly, focuses on project execution
Industry UsageCommon in large pharma and biotech companiesFound in similar settings, often as a mid-level leadership role
Search & Comparison IntentOften searched by senior professionals or recruitersMore frequently searched by mid-level managers or job seekers

The Remote Director Statistical Programming is a senior leadership role overseeing multiple teams and strategic initiatives, requiring extensive experience and advanced degrees. In contrast, the Remote Statistical Programming Manager focuses on managing project teams and day-to-day operations. Both roles are vital in pharmaceutical and biotech industries, but they differ mainly in seniority and scope of responsibilities.

What is a Remote Director of Statistical Programming?

A Remote Director of Statistical Programming is a senior-level professional who oversees statistical programming teams and projects, often within the pharmaceutical, biotechnology, or clinical research industries, while working remotely. They are responsible for ensuring the accuracy and efficiency of statistical data analysis and reporting, particularly for clinical trials and regulatory submissions. This role involves managing programmers, developing programming standards, ensuring compliance with regulatory requirements, and collaborating closely with statisticians, data managers, and project leaders. Working remotely, they utilize digital tools to lead distributed teams and maintain high-quality data deliverables. Their work is critical in transforming raw clinical data into meaningful insights for decision-making and regulatory approval.
More about Remote Director Statistical Programming jobs
What cities are hiring for Remote Director Statistical Programming jobs? Cities with the most Remote Director Statistical Programming job openings:
What states have the most Remote Director Statistical Programming jobs? States with the most job openings for Remote Director Statistical Programming jobs include:
Infographic showing various Remote Director Statistical Programming job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $280,147 per year, or $134.7 per hour.
Director, Biostatistics

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Posted 2 days ago

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Job description

Position Summary:

ultracurious - Apply your biggest ideas in courageous ways

The Director of Biostatistics acts as program statistical lead; provides technical leadership and biostatistical support on the design and conduct of clinical studies; participates in the evaluation, interpretation, and reporting of study results, in regulatory submissions to the FDA and other regulatory agencies; performs statistical analyses and develops tracking systems for data quality assurance. 

The Director of Biostatistics contributes to identifying, developing, and implementing departmental standards, applications, processes, and training. Provides timely support to the project teams on all statistical matters according to the project strategies and is responsible for addressing all administrative functions required for project management and milestones, identifying and communicating changes in project requirements that may affect key deliverables at the project level. 

Work Model: 

Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed.

Responsibilities:
  1. Lead in product / indication level tasks including regulatory interactions and filing, and ensure statistical integrity; contribute strategically to the supporting projects from statistics perspective 
  2. Contribute to study level tasks from statistics perspective, including: study design and sample size determination; Author/review statistics section in the protocol, SAP and DMC charter; Create/review study randomization files; Develop TFL shell and specification Review CRFs and other study documentations; Active participation in study related meetings 
  3. Works collaboratively within biometrics teams and with cross-functional teams to meet product deliverables and timelines for statistical data analysis and reporting 
  4. Ensure statistical integrity of deliverables; provide statistically sound scientific methodology input to meet project objectives and regulatory statistical and data requirements 
  5. Independently conduct analyses suggested by the data; Propose new/novel statistical methodological approaches to improve the efficiency and sensitivity of study results 
  6. Contribute to developing standards and research in advanced statistical methodologies 
  7. Author/review regulatory documents or scientific publications 
  8. Mentor junior team members 
Requirements:
  1. PhD in Statistics or Biostatistics with a minimum of 8 years (min 11 years for Masters) of post-graduate experience in the clinical trials setting in the pharmaceutical industry 
  2. Experienced in NDA / BLA / MAA activities as a key contributor from statistics perspective and direct involvement in regulatory interaction 
  3. Experienced as product lead statistician and contributing to strategy discussion in cross functional settings; Experienced in managing multiple products and studies and being able to prioritize 
  4. Experienced in study level work including authoring SAP and TFL specification 
  5. Familiar with ICH guideline, FDA / EMA / other regulatory authority guidance 
  6. Solid understanding of mathematical and statistical principles; Experience in statistical methods analyzing longitudinal data is preferred 
  7. Detailed-oriented with organization, problem solving and prioritization skills; demonstrated the ability to prioritize and complete multiple tasks according to company timeline 
  8. Familiar with SAS and R; preferably with knowledge in CDISC including SDTM, ADaM, and controlled terminologies 

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