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R Statistical Programmer Jobs in Michigan (NOW HIRING)

fng

CMM Programmer 2nd Shift

Battle Creek, MI · On-site

... programming scripts and tests. The incumbent is responsible for Gauge control and Gauge calibration ... R&R studies * Capability studies * Statistical analysis * Customer relations Requirements * High ...

fng

CMM Programmer 2nd Shift

Battle Creek, MI · On-site

... programming scripts and tests. The incumbent is responsible for Gauge control and Gauge calibration ... R&R studies * Capability studies * Statistical analysis * Customer relations Requirements * High ...

fng

CMM Programmer 2nd Shift

Battle Creek, MI

... programming scripts and tests. The incumbent is responsible for Gauge control and Gauge calibration ... R&R studies * Capability studies * Statistical analysis * Customer relations Requirements * High ...

Flex-N-Gate

CMM Programmer 2nd Shift

Battle Creek, MI · On-site

... programming scripts and tests. The incumbent is responsible for Gauge control and Gauge calibration ... R&R studies * Capability studies * Statistical analysis * Customer relations Requirements * High ...

NDC

Quality Engineer

Greenville, MI · On-site

$70/hr

Greenville, MI Position: Quality Engineer Type: Full-Time Salary: $70-85,000 DUTIES AND ... Gage R&R experience and calibration a plus * Ability to perform statistical evaluations using ...

GA Richards

Be Seen First

CMM Programmer/ Operator - 1st Shift

Norton Shores, MI · On-site

$23 - $31/hr

... statistical studies and CAD data Prepare statistical calculations and reports Understand and be ... R&Rs Perform a Layered Process Audits Assist with problem solving and other functions in the ...

Marmon

Quality Engineer

Sault Sainte Marie, MI · On-site

$68K - $88K/yr

Develop, implement and maintain a Statistical Process Control program Perform special projects and ... R studies and recommend improvements Perform Vendor Audits Supplier Quality Train employees as ...

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R Statistical Programmer information

See Michigan salary details

$73.7K

$128.4K

$217K

How much do r statistical programmer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for r statistical programmer in Michigan is $128,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $139,500.00 per year, depending on experience, location, and employer.

What is an R Statistical Programmer job?

An R Statistical Programmer is responsible for writing and optimizing code in R to analyze and manage statistical data, often in industries like pharmaceuticals, finance, or research. They develop data visualizations, automate reports, and ensure data integrity for decision-making. Many work closely with statisticians and data scientists to implement models and validate results. Strong knowledge of statistical methods, data manipulation, and regulatory requirements (in certain industries) is often required.

What are the key skills and qualifications needed to thrive in the R Statistical Programmer position, and why are they important?

To thrive as an R Statistical Programmer, you need a strong foundation in statistics, programming in R, and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, database management systems (such as SQL), and industry-relevant certifications like SAS or R programming credentials are highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These capabilities ensure accurate data-driven insights, efficient workflow, and effective collaboration within multidisciplinary project teams.

What does a typical day look like for an R Statistical Programmer?

A typical day for an R Statistical Programmer often involves writing and optimizing R scripts to analyze datasets, creating data visualizations, and collaborating with data scientists, statisticians, or project managers to deliver actionable insights. You might spend time cleaning and preparing raw data, performing statistical modeling, and documenting your methods to ensure reproducibility. Communication is key, as you'll regularly present your findings to both technical and non-technical stakeholders. Depending on the industry, you may work independently or as part of a team in academic, healthcare, finance, or technology environments.

What are the most commonly searched types of R Statistical Programmer jobs in Michigan? The most popular types of R Statistical Programmer jobs in Michigan are:
What are popular job titles related to R Statistical Programmer jobs in Michigan? For R Statistical Programmer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching R Statistical Programmer jobs in Michigan look for? The top searched job categories for R Statistical Programmer jobs in Michigan are:
R Statistical Programmer jobs near you
Infographic showing various R Statistical Programmer job openings in Michigan as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $128,379 per year, or $61.7 per hour.
Principal Statistical Programmer FSP - RWD/EPI

Principal Statistical Programmer FSP - RWD/EPI

Cytel

Lansing, MI • On-site

Other

Posted 10 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.

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