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Remote Director Statistical Programming Jobs (NOW HIRING)

EDETEK

Senior Statistical Programmer

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 ...

Erasca

SVP Biometrics

San Diego, CA · On-site +1

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 ...

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track ... Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be ...

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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 Jun 20, 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.
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What cities are hiring for Remote Director Statistical Programming jobs? Cities with the most Remote Director Statistical Programming job openings:
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Remote Director Statistical Programming jobs near you
Infographic showing various Remote Director Statistical Programming job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 17% In-person, and 83% Remote job distribution, with an average salary of $280,147 per year, or $134.7 per hour.
Statistical Data Scientist

Statistical Data Scientist

Praxis Precision Medicines, Inc.

OR • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Location:  This position may be performed remotely, but requires the flexibility and willingness to travel as needed.

The Opportunity

Praxis is seeking an Associate Director, Statistical Data Scientist to lead and execute the development, validation and automation of analytical pipelines and statistical models that support metadata-driven clinical data processing, reporting, and regulatory submissions. 

This is a hands-on technical leadership role, ideal for a senior data scientist or statistical programmer who enjoys coding, problem-solving, and working cross-functionally to bring rigor, reproducibility, and automation to clinical reporting workflows. 

The Associate Director will contribute directly to R/Python development while also setting technical standards, mentoring peers, and ensuring readiness for R-based regulatory submissions. 

Primary Responsibilities

  • Lead the design, development, and validation of R/Python code to automate generation of analytical datasets and TLFs within a metadata-driven pipeline. 
  • Translate SAPs and metadata specifications (YAML/CSV) into executable and reproducible code. 
  • Build and validate R packages and data science tools supporting both exploratory and confirmatory analyses, ensuring full traceability and audit readiness. 
  • Implement and validate statisticall models (e.g., MMRM, ANCOVA, logistic regression) using R packages such as mmrm, emmeans. 
  • Collaborate with IT to integrate data science and statistical programming workflows within Databricks and CI/CD pipelines for continuous validation and reproducibility 
  • Collaborate across programming, biostatistics, and data standards functions to ensure dataset definitions, derivations, and metadata align with controlled standards. 
  • Conduct peer code reviews, unit testing, and automated validation; ensuring deliverables meet submission-quality and reproducibility standards 
  • Mentor and guide team members in best practices for programming, validation, and automation  

Qualifications and Key Success Factors

  • Bachelor's or Master's degree in Statistics, Biostatistics, Data Science, or a related field. 
  • 8+ years of statistical programming experience in the pharmaceutical/biotech industy including hands-on experience with R and/or Python. 
  • Proven experience preparing or supporting R-based regulatory submissions (e.g., R package validation, R-based analysis delivery, or submission readiness) 
  • Strong understanding of CDISC ADaM and SDTM data structures, and their use in analytical workflows 
  • Experience developing and validating reusable R/Python libraries and functions 
  • Proficiency with Git, Bitbucket, and CI/CD automation pipelines 
  • Working knowledge of GxP and Part 11 compliance 
  • Excellent documentation and validation practices 
  • Collaborative and proactive mindset; able to operate independently in a small, agile team. 

Preferred Experience: 

  • Familiarity with YAML/JSON configuration and metadata-driven programming workflows 
  • Prior experience migrating from SAS to R/Python environments 
  • Knowledge of R validation frameworks (e.g., risk-based testing, reproducibility documentation). 
  • Experience with exploratory analytics or visualization in R or Python within a regulated framework. 

The physical and mental requirements of our roles include but are not limited to regular use of a computer, devices or other office equipment, clear communication, and occasional movement.  You'll need comfort with screen work, basic hand coordination, and focus.  Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

Compensation & Benefits

At Praxis, we believe that taking care of our people (and their people) is important, so we provide a world class benefits package to help you thrive. This includes 99% of the premium paid for medical, dental and vision plans.  We also provide company-paid life insurance, AD&D, disability benefits, and voluntary plans to personalize your coverage.Thinking about the future? We match dollar-for-dollar up to 6% on eligible 401(k) contributions and sweeten the deal with long-term stock incentives and ESPP. We provide a discretionary quarterly bonus, an extremely flexible wellness benefit, generous PTO, paid holidays and company-wide shutdowns. Not to mention, you'll also be joining a phenomenal crew of colleagues who are smart, engaged and inspiring. We aim high, collaborate hard, and produce results. Let's achieve the impossible together! 

To round out our world-class total rewards package, we provide annualized base salary compensation in the range listed below.  This range reflects the base salary the Company reasonably expects to pay for the position at the time of posting. Placement within the range will be based on job-related factors, including experience, qualifications, scope of responsibilities, and demonstrated track record of delivering results in similar roles.

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