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$61.5K

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$80.5K

How much do statistical developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for statistical developer in the United States is $72,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $77,000.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Developer vs Data Scientist?

AspectStatistical DeveloperData Scientist
Required CredentialsBachelor's or master's in statistics, mathematics, or related field; programming skillsBachelor's or master's in data science, statistics, or related; strong programming and analytical skills
Work EnvironmentFinancial firms, tech companies, or research institutions focusing on statistical modelingVaried industries including tech, finance, healthcare; data analysis and predictive modeling
Employer & Industry UsageFinancial services, banking, insurance, and tech firmsTech companies, consulting firms, healthcare, and retail sectors

While both roles require strong statistical and programming skills, Statistical Developers primarily focus on building and maintaining statistical models and tools, often within financial or research settings. Data Scientists have a broader scope, including data analysis, visualization, and predictive modeling across diverse industries. The roles overlap in skills but differ in focus and application.

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What job categories do people searching Statistical Developer jobs look for?

The top searched job categories for Statistical Developer jobs are:

Infographic showing various Statistical Developer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $72,143 per year, or $34.7 per hour.

Principal Statistical Programmer

Neshent Technologies

White Oak, OH

Full-time

Posted 5 days ago

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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