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Statistical Programming Jobs (NOW HIRING)

ResponsibilitiesLead and execute statistical programming activities by developing and validating datasets and Tables, Listings, and Figures (TLFs) to ensure high-quality deliverables for pivotal ...

This is an exciting opportunity to lead Natera's Statistical Programming team, specifically focused on advancing our oncology portfolio through high-impact, practice-changing clinical trials. As a ...

Head of Statistical Programming Introduction to role: Are you ready to set the global programming strategy that accelerates life-changing therapies for people with rare and devastating diseases? This ...

This is an exciting opportunity to lead Natera's Statistical Programming team, specifically focused on advancing our oncology portfolio through high-impact, practice-changing clinical trials. As a ...

About this role The Senior Analyst, Statistical Programming leads and oversees statistical programming activities both internally and externally through vendors in the application of data standards ...

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Statistical Programming information

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$84.5K

$147.3K

$249K

How much do statistical programming jobs pay per year?

As of May 31, 2026, the average yearly pay for statistical programming in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

Is SAS programming in demand?

SAS programming is in demand in industries such as healthcare, finance, and pharmaceuticals, especially for data analysis and reporting roles. Many organizations seek professionals skilled in SAS, along with knowledge of statistical methods and data management, making it a valuable skill in the job market for statistical programmers.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

More about Statistical Programming jobs
What cities are hiring for Statistical Programming jobs? Cities with the most Statistical Programming job openings:
What are the most commonly searched types of Statistical Programming jobs? The most popular types of Statistical Programming jobs are:
What states have the most Statistical Programming jobs? States with the most job openings for Statistical Programming jobs include:
Infographic showing various Statistical Programming job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 8% Part Time, 2% Temporary, 13% Contract, and 1% Nights. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Full-time

Posted 17 days ago


Job description

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.Job SummaryThe purpose of this role is to lead and contribute to statistical programming activities across SDTM, ADaM, and Tables, Listings, and Figures (TLFs), providing both technical oversight and hands-on support for the development, validation, and programmatic review of datasets and outputs.

This role ensures the quality, consistency, and timeliness of deliverables supporting oncology regulatory submissions by guiding programming strategies, reviewing key outputs, and driving issue resolution. In addition, the position fosters and maintains institutional knowledge across oncology compounds, while supporting the development, standardization, and continuous improvement of programming processes and best practices for datasets and TLFs to enhance efficiency, quality, and compliance.Job DescriptionResponsibilitiesLead and execute statistical programming activities by developing and validating datasets and Tables, Listings, and Figures (TLFs) to ensure high-quality deliverables for pivotal studies, as well as Integrated Summary of Efficacy (ISE) and Integrated Summary of Safety (ISS) for oncology regulatory submissions.Drive end-to-end programming from SDTM through ADaM to TLF generation in compliance with CDISC standards and regulatory requirements.Responsibilities include developing SDTM CRF annotations and SDTM specifications, as well as analysis dataset specifications to ensure accurate implementation of SAPs and TLF shells; performing hands-on programming to create and validate SDTM and ADaM datasets and TLFs, ensuring quality, integrity, and submission readiness; and ensuring datasets meet CDISC and regulatory submission standards while conducting comprehensive reviews of submission data packages to ensure quality, completeness, and alignment with regulatory expectations.Manage and coordinate statistical programming activities for project planning and delivery to ensure high-quality outputs and adherence to timelines.Responsibilities include developing and managing programming timelines and resource plans; collaborating closely with Biostatistics, Data Management, and cross-functional teams to ensure efficient and accurate execution; managing the generation and tracking of datasets and TLFs for ongoing and completed studies; ensuring appropriate data usage and high-quality outputs; proactively identifying and resolving programming-related issues prior to database lock and analysis; ensuring the completeness and accuracy of all study programming deliverables; and maintaining all required programming documentation in compliance with Trial Master File (TMF) requirements.For outsourced studies, oversee statistical programming vendor on project planning and execution to ensure high quality deliverables and timelines met.Responsibilities include: review and agree on vendor project timelines and resource planning, work in tandem with Biostatistics and Data Management members to ensure best vendor performance, monitor analysis dataset and TLFs transfers for ongoing and complete trials, confirm data use and output quality, proactively ensure the resolution of programming related issues prior to database lock analysis, be accountable and verify completeness of study programming deliverables, maintain all required study programming documentation required for Trial Master File (TMF).Maintain institutional knowledge across oncology compounds and support the development of standardized programming practices for datasets and TLFs to improve efficiency and quality.Responsibilities include contributing to CRF and SDTM standard development; supporting the development, implementation, and maintenance of Analysis Data Model (ADaM) datasets and TLF standards; and supporting training initiatives to ensure consistent implementation of ADaM and TLF standards in clinical trial analyses.Provide programming support to prepare regulatory requested analyses and help submission team in quick turnaround in response to regulatory agencies.Responsibilities include developing TLFs to support submission-related QAs with quick turnaround timelines; supporting ad hoc and exploratory analyses requested by clinical teams; and providing programming support for regulatory responses and potential Advisory Committee meetings.Develop and maintain programming macros to effectively support internal data review and monitoring.Responsibilities include collaborating with Biostatistics team members to define requirements for efficacy data review; developing and enhancing macros; and supporting the internal data review and monitoring activities.QualificationsEducation QualificationsMaster's Degree Biostatistics or similar degree requiredPhD Biostatistics or similar degree preferred Experience Qualifications6+ years of proven experience within pharmaceutical industry, or CROs supporting statistical analysis of clinical trials programming with a master's degree requiredOncology experience requiredAdvanced working knowledge of all aspects of the SAS programming language used in clinical trials programming preferredAdvanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis preferredAdvanced understanding of statistical concepts in support of analyses and reporting of clinical trials. preferredKnowledge of all phases of drug development, including early and late phase clinical development and global submission preferredExperience with R and Python programming languages preferred.Familiarity with AI/ML and their applications in clinical data analysis preferred.Experience supporting and maintaining Statistical computing environment and clinical data repository system preferred.Travel RequirementsAbility to travel up to 10% of the time.Daiichi Sankyo, Inc.

is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.Salary Range:USD$140.400,00 - USD$210.600,00[Link available when viewing the job] Salary: . Date posted: 04/14/2026