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Sas Programming Jobs in Michigan (NOW HIRING)

micro1 AI

Director of Biostatistics

Ann Arbor, MI · Remote

$60 - $100/hr

Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets. * Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.

Ra

Marketing Analytics Manager

Detroit, MI · On-site

... SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics, Statistical Programming ...

Stefanini, Inc

Mianframe Developer

Dearborn, MI · On-site

$84 - $91/hr

Proficient in Assembler, REXX, Clist and SAS coding (highly desired). * Knowledge of RACF and ability to create and analyze RACF profiles. * Provide system-programming support for the installation ...

New

FastTek

Infrastructure Engineer

Dearborn, MI · On-site

$98K - $129K/yr

Proficient in Assembler, REXX, Clist and SAS coding (highly desired). * Knowledge of RACF and ability to create and analyze RACF profiles. * Provide system-programming support for the installation ...

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How much do sas programming jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for sas programming in Michigan is $42.71, according to ZipRecruiter salary data. Most workers in this role earn between $29.95 and $53.65 per hour, depending on experience, location, and employer.

What is SAS programming?

SAS programming refers to the use of the SAS (Statistical Analysis System) software suite for data management, advanced analytics, business intelligence, and statistical analysis. SAS programmers write code in the SAS language to import, clean, manipulate, and analyze data, often creating reports and visualizations based on their findings. This skill is widely used in industries such as healthcare, finance, and research, where large datasets must be processed and interpreted efficiently.

What are the key skills and qualifications needed to thrive as a SAS programmer?

To thrive as a SAS Programmer, you need expertise in SAS programming language, data analysis, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with SAS software, SQL, and statistical analysis tools, as well as certifications like SAS Certified Specialist, are typically required. Strong attention to detail, problem-solving skills, and effective communication help you interpret data and collaborate with stakeholders. These skills are crucial for delivering accurate data analysis, supporting business decisions, and ensuring data integrity in complex projects.

What are some common challenges faced by SAS programmers in a collaborative team environment?

SAS Programmers often work alongside statisticians, data managers, and clinical research associates, which requires effective communication and collaboration. A common challenge is ensuring consistent data standards and understanding project requirements across diverse teams, especially when managing large or complex datasets. Additionally, SAS Programmers may need to adapt quickly to evolving regulatory guidelines and client specifications, which can impact timelines and workflow. Being proactive in clarifying expectations and maintaining thorough documentation helps address these challenges and ensures smooth project execution.

What is the difference between Sas Programming vs Data Analyst?

AspectSas ProgrammingData Analyst
Required SkillsProficiency in SAS, data manipulation, statistical analysisData visualization, SQL, basic statistical knowledge
Work EnvironmentHealthcare, finance, pharmaceutical industriesBusiness, marketing, finance sectors
CertificationsSAS certifications often preferredGenerally not required, but certifications like CAP or Microsoft Excel certifications helpful

While Sas Programmers focus on developing and maintaining SAS-based data solutions primarily in regulated industries, Data Analysts interpret data using various tools including SQL and Excel. Sas Programming requires specialized SAS skills and certifications, whereas Data Analysts often have broader analytical skills. Both roles are essential for data-driven decision-making but differ in technical focus and industry application.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. The role requires proficiency in SAS software, statistical analysis, and data management, with job growth driven by increasing data-driven decision making across sectors.

What sas programming jobs are in high demand?

SAS programming jobs in high demand include roles such as clinical SAS programmer, data analyst, and biostatistician, especially in healthcare, pharmaceuticals, and finance sectors. These positions often require proficiency in SAS software, data management, and statistical analysis, with demand driven by regulatory compliance and data-driven decision-making.

What are popular job titles related to Sas Programming jobs in Michigan?

For Sas Programming jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Sas Programming jobs in Michigan look for?

The top searched job categories for Sas Programming jobs in Michigan are:

What cities in Michigan are hiring for Sas Programming jobs?

Cities in Michigan with the most Sas Programming job openings:

Sas Programming jobs near you
Infographic showing various Sas Programming job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 13% Part Time, 4% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $88,841 per year, or $42.7 per hour.

Director of Biostatistics

micro1 AI

Ann Arbor, MI • Remote

$60 - $100/hr

Part-time

Re-posted yesterday

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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