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Remote Director Statistical Programming Jobs (NOW HIRING)

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Director of Biostatistics

Wichita, KS Β· Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Director of Biostatistics

Peoria, AZ Β· Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

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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 Sep 12, 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.

What is a remote director 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.

What are the key skills and qualifications needed to thrive as a remote director statistical programming?

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.

How does a remote director 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 teamsβ€”such as biostatisticians, data managers, and clinical operationsβ€”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 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.

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Infographic showing various Remote Director Statistical Programming job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, 10% Part Time, 5% Temporary, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $280,147 per year, or $134.7 per hour.

Senior Manager, Statistical Programming (Remote)

Fairfield, CT β€’ On-site, Remote

Penfield Search Partners
Recruiting and Staffing ServicesΒ β€’Β 11 - 50 employees

Full-time

Posted 25 days ago


Job description

Contact: Lauren Scutero -
No 3rd party candidates
The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.

This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in establishing SOPs and programming standards, and modernizing statistical reporting with open-source tools.


Essential Duties and Responsibilities

Key Project Responsibilities:

  • Provide programming leadership and oversee study to compound-level programming deliverables in collaboration with the lead biostatistician and cross-functional teams.
  • Serve as the lead programmer to review the SAP, Data Presentation Plan, and Table Shells to align with project objectives and ensure clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM, and TLF for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop company tools, such as R packages, macros, and interactive data dashboards (e.g., with Shiny), to enhance the efficiency and capacity of the Statistical Programming team.
  • Develop robust programs to create define.xml. Lead the NDA eSubmission package preparation.

Initiative Responsibilities:

  • Under the guidance of the Head of Statistical Programming and Compound Lead, implement innovative strategies and technologies to enhance programming processes.
  • Working with the manager, establish Statistical Programming standards and deploy programming strategies, specifications, and programmed analyses.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.


Qualifications and Preferred Skills 

Education:

  • Master’s degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:

  • Minimum of 6 years of statistical programming experience in the pharmaceutical, biotech, or CRO clinical trial environment.
  • Advanced SAS and R programming skills, with experience using Git for version control required. Extensive hands-on experience with SDTM, ADaM, and TLF programming.
  • Python programming experience is desirable.
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of the drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience with their implementation in clinical trials.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results-oriented, with proven problem-solving skills and a strong interest in continued learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and able to thrive in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.