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Clinical Statistical Programmer Jobs in Houston, TX

Guidehouse

Associate Epidemiologist

Houston, TX · On-site

$53K - $88K/yr

Support epidemiologic analysis of surveillance, clinical, claims, survey, and other public health ... Experience working with large datasets using one or more statistical programming languages such as ...

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Clinical Statistical Programmer information

See Houston, TX salary details

$15

$51

$85

How much do clinical statistical programmer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for clinical statistical programmer in Houston, TX is $51.74, according to ZipRecruiter salary data. Most workers in this role earn between $32.84 and $77.84 per hour, depending on experience, location, and employer.

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 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 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.
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Clinical Statistical Programmer jobs near you
Infographic showing various Clinical Statistical Programmer job openings in Houston, TX as of August 2026, with employment types broken down into 3% As Needed, 73% Full Time, 17% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $107,620 per year, or $51.7 per hour.

Postdoctoral Fellow - Computational Genomics & Cancer Epidemiology

MD Anderson Cancer Center

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 26 days ago

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 898 rated healthcare providers

Job description

We are seeking highly motivated postdoctoral fellows to join a multidisciplinary research program in the molecular epidemiology of lymphoid malignancies. Based in the Departments of Epidemiology and Lymphoma & Myeloma at The University of Texas MD Anderson Cancer Center, our work bridges molecular, population, and clinical research.
We investigate how inherited genetic variation, clonal hematopoiesis, and precancerous conditions influence the risk, progression, and outcomes of blood cancers, including chronic lymphocytic leukemia, multiple myeloma, and diffuse large B-cell lymphoma. By integrating germline and somatic genomic data with large-scale cohort, biobank, and clinical datasets, we identify risk factors, model disease trajectories, and develop precision tools for cancer risk prediction.
Supported by funding from the Cancer Prevention and Research Institute of Texas (CPRIT) and the National Cancer Institute, the program provides access to exceptional resources, including high-performance computing, large and diverse population datasets, and a collaborative, data-rich environment.
LEARNING OBJECTIVES
Postdoctoral fellows will work at the interface of population science, computational biology, and clinical oncology. Potential projects include:
Developing computational phenotyping methods to identify precursor conditions in large cohorts.
Characterizing clonal growth trajectories in B-cell precursors and their somatic drivers.
Investigating the combined effects of inherited and acquired genomic alterations on cancer risk and prognosis.
Fellows will be supported in developing independent research directions, publishing in high-impact journals, and presenting at national and international meetings.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations
ELIGIBILITY REQUIREMENTS
Ph.D., M.D./Ph.D., or equivalent degree in epidemiology, genetic epidemiology, bioinformatics, computational biology, or a related field.
Demonstrated experience in genomic data analysis and statistical programming (R, Python).
Interest in cancer epidemiology and early detection of lymphoid malignancies.
Strong written and oral communication skills, with a publication record.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 . depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits , including medical, dental, paid time off , retirement , tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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