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Statistical Programmer 1 Jobs (NOW HIRING)

Navitas Life Sciences

Senior Statistical Programmer

The Senior Statistical Programmer Analyst I (SR SPA I) is an independent statistical programmer ... Act as an Expert in one or more areas that may include Project Management, SCE, SDTM, ADaM, define ...

MSD

Senior Statistical Programmer

Rahway, NJ · On-site

The senior statistical programmer will gather and interpret user requirements for programming ... Experience with at least one other software than SAS (e.g., R, Python, NonMem) * Good working ...

New

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

... in one or more of the following: multivariate analysis, regression analysis and forecasting ... D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor ...

MSD

Senior Statistical Programmer

North Wales, PA · On-site

The senior statistical programmer will gather and interpret user requirements for programming ... Experience with at least one other software than SAS (e.g., R, Python, NonMem) * Good working ...

New

Rho Inc

Senior Statistical Programmer

Our Statistical Programmers will tell you, joining Rho has been one of their best career moves in terms of contentment, financial rewards and career growth, which is why we have such stability in the ...

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Showing results 1-20

All JobsStatistical Programmer 1 Jobs

Statistical Programmer 1 information

See salary details

$84.5K

$147.3K

$249K

How much do statistical programmer 1 jobs pay per year?

As of Jul 10, 2026, the average yearly pay for statistical programmer 1 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 is the difference between Statistical Programmer 1 vs Statistical Programmer 2?

AspectStatistical Programmer 1Statistical Programmer 2
Required CredentialsBachelor's degree in statistics, biostatistics, or related fieldBachelor's or master's degree, with more experience
Work EnvironmentEntry-level, supporting clinical trial data analysisMore independent, handling complex datasets
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsSame as Statistical Programmer 1, with increased responsibilities
Common Search & ComparisonYesYes

The main difference between Statistical Programmer 1 and Statistical Programmer 2 lies in experience and responsibility. Statistical Programmer 2 typically has more experience, handles more complex tasks, and works more independently. Both roles are common in the pharmaceutical and biotech industries, often requiring similar educational backgrounds, but Statistical Programmer 2 is expected to take on greater responsibilities.

What are the key skills and qualifications needed to thrive as a Statistical Programmer 1, and why are they important?

To thrive as a Statistical Programmer 1, you need a solid background in statistics or mathematics, programming proficiency (especially in SAS or R), and a relevant bachelor's degree. Familiarity with data management tools, clinical trial data standards (such as CDISC), and statistical analysis software is typically required. Attention to detail, problem-solving skills, and effective communication help you accurately interpret data and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, meeting regulatory requirements, and delivering high-quality statistical outputs in clinical research environments.

What are Statistical Programmers?

Statistical Programmers are professionals who use specialized software and programming languages, such as SAS, R, or Python, to manage, analyze, and report on data—often in clinical research, pharmaceuticals, or healthcare settings. They work closely with statisticians and data managers to ensure data accuracy, create statistical tables, and support the analysis of clinical trials or research studies. Statistical Programmers play a key role in transforming raw data into meaningful results that inform scientific and regulatory decisions.

What are common challenges faced by Statistical Programmer 1s when working with clinical trial data?

Statistical Programmer 1s often encounter challenges such as managing large and complex datasets, ensuring data integrity, and adhering to strict regulatory standards like CDISC and FDA requirements. They must also communicate closely with biostatisticians and data managers to clarify analysis needs and address data discrepancies. Balancing multiple projects with tight deadlines while maintaining accurate and reproducible code is another frequent challenge, making organizational skills and attention to detail essential in this role.
More about Statistical Programmer 1 jobs
What cities are hiring for Statistical Programmer 1 jobs? Cities with the most Statistical Programmer 1 job openings:
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Statistical Programmer 1 jobs near you
Infographic showing various Statistical Programmer 1 job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, 1% Temporary, and 6% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
Statistical Programmer II

Statistical Programmer II

Ruri Software Technologies LLC

Tampa, FL • On-site

Full-time

Posted 21 days ago

Job description

Role: Statistical Programmer II
Location : Tampa, Florida
Job Duties:
Roles and responsibilities she perfomed as a Statistical Programmer I/ Sas Programmer I from
Sep2019 - Jan2021 Includes the follows:
Provide statistical programming support for the reporting of clinical trial results of Phase 1
and Phase 2
Experience working with systems used within the Clinical Trial process.
Generated program as per STDM standards and Documentation of SAS code, log, Output
and report as per SOP guidelines.
Performed CDISC Mapping for Ongoing clinical trials and classified data into domains.
understanding with CDISC SDTM Implementation Guide v3.1.2/ v3.1.3 and SDTM
Model.
Proficient in generating clinical reports for safety analysis in the form of tables and listings.
Developed reports for safety as per study requirements debugging SAS errors and
identifying issues producing reports or analysis data sets and SAS data sets.
Roles and responsibilities she perfomed as a Statistical Programmer II/ Sas Programmer II from
feb2021 - Dec2022 Includes the follows:
Experienced in Writing statistical programs using SAS and R as per requests from internal
or external clients and reviewing the statistical analysis plan (SAP), SDRG and ADRG.
Handling of multiple Projects of client data to analyze Phase II and Phase III Clinical trials
data in various therapeutic areas like Hematology, endocrinology, Dermatology,
Gastroenterology, Immunology, Neurology and Virology to provide statistical
programming by using SAS tools such as SAS/MACROS, SAS/SQL and R experience for
the reporting of clinical trial results.
Involved in error handling, fixing bugs, and overcoming the challenges faced while
developing the code of specified structure of Tables and listings through creating Macros
and macro variables.
Experienced in data validation and data cleaning and worked understanding with CDISC
SDTM Implementation Guide v3.2/v3.3 and SDTM Model checks (through specifications) on
clinical trial datasets and QC of Statistical/ Programming outputs like Analysis Datasets and
aCRF (Case Report Form).
Experienced in creating reports using proc report and derived data sets (SDTM, CDISC,
ADAM) and Generated Define.xml output for FDA regulatory submissions.
Created efficacy customize reports for FDA regulatory submissions and develop to
maintain SAS programs to create SDTM and Adam datasets and created Tables and
Figures to support clinical trials.
Track clinical trial milestones for statistical programming deliverables.
Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and
international regulations, and participate in internal/external audits and regulatory
inspections as required.
Analyzed and validated data sets and SAS outputs with other programmer's outputs and
mockups in SAP using PROC COMPARE, PROC CONTENTS and PROC FREQ. Created
formats for the coded data and used PROC SQL for data validation.

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