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Clinical Statistical Programmer Jobs in Kansas (NOW HIRING)

In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables. This role is part of the ...

From clinical trials to regulatory, consulting, and market access, every clinical development ... Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable ...

Strong computer skills, with evidence of programming skills (SAS or R) especially statistical ... Minimum 2-4 years' experience in clinical trials design and analysis or related field We celebrate ...

... algorithms/programming * Able to read and understand most SDTM & ADaM domains and mapping ... In-depth knowledge of statistical methodologies and how to apply them in a clinical research ...

Lead statistical activities for clinical trials and data analyses, including study design ... programming practices, and regulatory guidelines. * Keep up to date with regulatory guidelines and ...

Support statistical activities for clinical trials and data analyses, including study design ... programming practices, and regulatory guidelines. * Other duties as assigned. Necessary Skills and ...

Develop tables of summary statistics and graphics for clinical aspects of clinical trials. Develop ... Excellent SAS programming proficiency. Altasciences strives to provide a French working environment ...

... clinical trials. • Develop Inferential Statistics. • Potentially support some Statistical ... programming proficiency. Altasciences strives to provide a French working environment for its ...

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Clinical Statistical Programmer information

See Kansas salary details

$14

$48

$80

How much do clinical statistical programmer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for clinical statistical programmer in Kansas is $48.32, according to ZipRecruiter salary data. Most workers in this role earn between $30.67 and $72.69 per hour, depending on experience, location, and employer.

What are some common challenges faced by Clinical Statistical Programmers when working with clinical trial data?

Clinical Statistical Programmers often encounter challenges such as handling large and complex datasets, ensuring data integrity, and adhering to strict regulatory guidelines (like CDISC standards). Collaborating closely with biostatisticians, data managers, and clinical teams is essential to resolve data discrepancies and meet tight project deadlines. Staying updated on evolving regulatory requirements and software tools is also vital to maintain high-quality deliverables in a fast-paced environment.

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

To thrive as a Clinical Statistical Programmer, you need strong proficiency in statistical programming languages (such as SAS or R), a background in statistics or life sciences, and familiarity with clinical trial processes. Experience with CDISC standards (SDTM, ADaM), regulatory submission requirements, and version control systems is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring data quality. These skills ensure the accurate analysis and reporting of clinical data, which is critical for regulatory compliance and successful clinical trial outcomes.

What does a Clinical Statistical Programmer do?

A Clinical Statistical Programmer is responsible for managing and analyzing clinical trial data using statistical software, such as SAS or R. Their primary tasks include creating datasets, programming statistical analyses, and generating tables, listings, and figures for clinical study reports. They work closely with biostatisticians and clinical research teams to ensure data accuracy and regulatory compliance. Their work is essential for supporting submissions to regulatory agencies and for making data-driven decisions in clinical research.

What Does a Clinical Statistical Programmer Do?

The job duties of a clinical statistical programmer involve collecting data, performing statistical analysis, and analyzing data sets according to the needs of their employer or client. Your responsibilities in this career may involve using SAS programming to create and analyze data sets during clinical trials or other clinical experiments and studies. You may also be involved in performing data integration for reports following clinical research or statistical analysis for quality control (QC).

What are popular job titles related to Clinical Statistical Programmer jobs in Kansas? For Clinical Statistical Programmer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Clinical Statistical Programmer jobs in Kansas look for? The top searched job categories for Clinical Statistical Programmer jobs in Kansas are:
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Principal Statistical Programmer FSP - RWD/EPI

Principal Statistical Programmer FSP - RWD/EPI

Cytel

Topeka, KS • On-site

Other

Posted 3 days ago


Job description

You will contribute by:

  • Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities

  • Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms

  • Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data

  • Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)

  • The position will partner with Epidemiologists to manage relationships with internal and external stakeholders

  • Being able to prioritize and manage work across multiple projects and stakeholders

  • Providing strong communication to ensure successful and timely project delivery

  • Solving technical problems with experience and expertise

Summary of Key Responsibilities:

  • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)

  • Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols

  • Create analytical databases from data extracts to facilitate conduct of data analyses

  • Conduct analyses consistent with methods set forth in study protocols and analysis plans

  • Produce tables and figures for discussions with other investigators, clients, and for study reports

  • Present results internally and to clients

  • Assist in the preparation of study reports and other deliverables

  • May have supervisory responsibilities in the future

What we’re looking for:

  • Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution

  • Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required

  • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable

  • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts

  • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting

  • Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion

  • Confident and competent when interacting with internal and external stakeholders

  • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence

Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.