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Statistical Programmer Jobs in Ann Arbor, MI (NOW HIRING)

Statistical Programmer

Ann Arbor, MI · On-site

$75 - $110/hr

Bachelor's degree in quantitative sciences, biostatistics, statistics, engineering, data science, or similar field. Master's degree preferred. * Experience generating and validating CDISC SDTM and ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

A working knowledge of statistics and data analysis is useful in this position, as this job requires the programmer to analyze testing data to ensure the machine functions properly. * Strong ...

A working knowledge of statistics and data analysis is useful in this position, as this job requires the programmer to analyze testing data to ensure the machine functions properly. * Strong ...

CMM Programmer

Taylor, MI · On-site

$24 - $33/hr

A working knowledge of statistics and data analysis is useful in this position, as this job requires the programmer to analyze testing data to ensure the machine functions properly. * Strong ...

A working knowledge of statistics and data analysis is useful in this position, as this job requires the programmer to analyze testing data to ensure the machine functions properly. * Strong ...

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

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CMM Programmer

Belleville, MI · On-site

$30 - $35/hr

Employbridge is seeking an experience CMM Programmer for Belleville, MI Shift: 2:00pm - 10:00pm ... And keep gage calibrations and statistical studies current in Mq1 system. * Participates in ...

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Statistical Programmer information

See Ann Arbor, MI salary details

$82.7K

$144.1K

$243.6K

How much do statistical programmer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for statistical programmer in Ann Arbor, MI is $144,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

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 a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Ann Arbor, MI?

The most popular types of Statistical Programmer jobs in Ann Arbor, MI are:

What are popular job titles related to Statistical Programmer jobs in Ann Arbor, MI?

For Statistical Programmer jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Statistical Programmer jobs in Ann Arbor, MI look for?

The top searched job categories for Statistical Programmer jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Statistical Programmer jobs?

Cities near Ann Arbor, MI with the most Statistical Programmer job openings:

Infographic showing various Statistical Programmer job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $144,100 per year, or $69.3 per hour.

Statistical Programmer

A2 Ai

Ann Arbor, MI • On-site

$75 - $110/hr

Other

Posted 10 days ago


Job description

  • Generate and validate CDISC SDTM and ADaM datasets related to noncompartmental analysis (NCA), including PC/PP, ADPC, ADPP, and other relevant domains.
  • Develop submission-ready datasets that comply with CDISC standards, implementation guides, and controlled terminology.
  • Perform dataset validation using Pinnacle 21 (Community and/or Enterprise) and resolve validation findings to ensure regulatory compliance.
  • Prepare and maintain Define-XML packages and supporting metadata for regulatory submissions.
  • Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical datasets.
  • Perform quality control (QC) of datasets, programming outputs, and submission documentation to ensure accuracy, completeness, and consistency with source data.
  • Support regulatory submissions to agencies such as the FDA, PMDA, and EMA by producing high-quality, submission-ready datasets and documentation.
Requirements
  • Bachelor’s degree in quantitative sciences, biostatistics, statistics, engineering, data science, or similar field. Master’s degree preferred.
  • Experience generating and validating CDISC SDTM and ADaM NCA domains (e.g., PC/PP, ADPC, ADPP, and related datasets).
  • Proficiency with Pinnacle 21 (Community and/or Enterprise) for validation.
  • Proficiency with R or SAS.
  • Experience preparing or reviewing Define-XML (define packages) for regulatory submissions.
  • Strong understanding of CDISC standards, controlled terminology, and implementation guides.
  • Experience supporting regulatory submissions (FDA, PMDA, or EMA) is preferred.
  • Strong attention to detail and ability to work independently in a collaborative environment.
  • This position is ideal for someone with hands-on experience in clinical data standards who can efficiently produce submission-ready datasets and associated documentation for NCA analyses.
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