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How much do lead statistical programmer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for lead statistical programmer in the United States is $54.96, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $68.75 per hour, depending on experience, location, and employer.

What does a lead statistical programmer do?

A Lead Statistical Programmer oversees and manages the programming aspects of clinical trial data analysis. They are responsible for developing, validating, and maintaining statistical programs used to analyze clinical data, typically using software like SAS. In addition to technical programming, they coordinate with statisticians, data managers, and project teams to ensure data integrity and compliance with regulatory standards. Lead Statistical Programmers often mentor junior programmers and play a key role in project planning and timeline management.

What are the key skills and qualifications needed to thrive as a lead statistical programmer, and why are they important?

To thrive as a Lead Statistical Programmer, you need expertise in statistical programming languages like SAS or R, a solid understanding of clinical trial data, and a relevant degree in statistics, mathematics, or a related field. Familiarity with CDISC standards (SDTM, ADaM), regulatory submission processes, and version control systems are essential technical requirements. Strong leadership, communication, and problem-solving skills help in managing teams and collaborating across departments. These skills ensure accurate, compliant data analysis and efficient project delivery in a highly regulated environment.

What are some common challenges faced by a lead statistical programmer, and how can they be managed?

Lead Statistical Programmers often encounter challenges such as balancing multiple project timelines, ensuring compliance with regulatory standards, and coordinating effectively with cross-functional teams like biostatistics and clinical operations. Managing these challenges requires strong organizational and communication skills, as well as a proactive approach to problem-solving and stakeholder engagement. Regularly updating programming knowledge and fostering collaboration within the team can also help streamline workflows and maintain high-quality deliverables.

What is the difference between Lead Statistical Programmer vs Statistical Programmer?

AspectLead Statistical ProgrammerStatistical Programmer
CredentialsTypically requires a Bachelor's or Master’s in Biostatistics, Statistics, or related field; experience in clinical trialsSame educational background; entry to mid-level experience
Work EnvironmentLeads project teams, manages timelines, and oversees statistical analysisPerforms statistical programming tasks under supervision
Industry UsageUsed across pharmaceutical, biotech, and CROs for leadership rolesCommonly employed in similar settings for technical execution

The main difference between a Lead Statistical Programmer and a Statistical Programmer lies in leadership responsibilities, project management, and oversight. The Lead typically manages teams and ensures project delivery, while the Statistical Programmer focuses on executing statistical analyses under guidance.

How much does a lead statistical programmer make in the US?

A lead statistical programmer in the US typically earns between $100,000 and $130,000 annually, depending on experience, location, and the size of the organization. Senior roles often include additional benefits such as bonuses and health insurance, and proficiency in programming languages like SAS or R is usually required.
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Lead Statistical Programmer jobs near you
Infographic showing various Lead Statistical Programmer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $114,323 per year, or $55 per hour.

Principal Statistical Programmer

Neshent Technologies

Addyston, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Principal Statistical Programmer to lead statistical programming activities for clinical development programs. The ideal candidate will have strong expertise in SAS programming, CDISC standards, ADaM datasets, TLF development, regulatory submissions, and clinical trial data analysis. This role will provide technical leadership, mentor statistical programmers, and collaborate with cross-functional clinical teams.

Required Skills & Experience
  • Experience leading a team of statistical programmers supporting clinical development programs.
  • Strong proficiency in SAS programming for developing and validating:
    • ADaM datasets
    • Tables, Listings, and Figures (TLFs)
    • Statistical analyses
  • Good knowledge of R programming and other statistical programming languages preferred.
  • Strong understanding of SAS programming concepts and the clinical study lifecycle.
  • In-depth knowledge of CDISC standards (SDTM/ADaM) and regulatory requirements.
  • Experience supporting regulatory filings and submission documentation.
  • Experience working in therapeutic areas such as Oncology, Immunology, Neuroscience, or similar domains.
  • Strong communication and collaboration skills with cross-functional teams.
  • Ability to estimate project programming efforts and manage competing priorities.
Roles and Responsibilities
  • Lead statistical programming activities for assigned compounds, indications, or therapeutic areas.
  • Manage and mentor statistical programmers, analysts, and senior analysts.
  • Plan resources, track deliverables, and ensure timely completion of programming activities.
  • Develop and oversee SAS programs for ADaM dataset creation following CDISC standards.
  • Develop and review SAS programs for Tables, Listings, and Figures (TLFs).
  • Ensure consistency and quality of ADaM datasets across individual studies and integrated analyses.
  • Support regulatory submissions by preparing documentation such as reviewer guides and data definition documents.
  • Develop standard SAS macros, programming standards, and operating procedures.
  • Ensure compliance with quality processes and clinical programming best practices.
  • Collaborate with Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing, and Clinical Operations teams.
Preferred Qualifications
  • Experience in pharmaceutical, biotechnology, or clinical research environments.
  • Strong knowledge of clinical trial programming and regulatory submission processes.
  • Excellent leadership, problem-solving, and organizational skills.
  • Ability to work effectively in a dynamic, deadline-driven environment.

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