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Remote Sas Jobs in Michigan (NOW HIRING)

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Remote Sas information

What is a remote SAS job?

Remote SAS jobs are positions where professionals use SAS (Statistical Analysis System) software to analyze data, perform statistical modeling, and generate reports while working from a location outside of a traditional office. These roles often include job titles such as SAS Programmer, Data Analyst, or Biostatistician, and are commonly found in industries like healthcare, finance, and research. Remote SAS professionals collaborate with teams through virtual communication tools and are responsible for maintaining data integrity and delivering analytical insights. The flexibility of remote work allows individuals to manage their own schedules while contributing to projects from anywhere with a reliable internet connection.

What is a remote SAS job?

SAS is a suite of software programs designed to provide users with statistical analysis applications, business intelligence programs, and data management tools. Remote SAS jobs include working as a programmer, developer, data analyst, or marketing specialist. Duties may involve developing or using an existing application for market research or scientific data analysis. People in this position often work from home or off-site full time, communicating with project managers and other developers via phone, email, or video chat. Qualifications often include a postsecondary degree in a relevant field, knowledge of one or more programming languages, and time management skills.

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

To thrive as a Remote SAS Programmer, you need strong skills in statistical analysis, data management, and proficiency with SAS software, typically supported by a degree in statistics, computer science, or a related field. Familiarity with clinical trial data standards (e.g., CDISC), SQL databases, and SAS certifications such as Base or Advanced SAS are highly valued. Excellent problem-solving, attention to detail, and effective communication are vital soft skills for collaborating with remote teams and stakeholders. These competencies ensure accurate data analysis, regulatory compliance, and seamless teamwork in a remote working environment.

What are some common challenges faced by professionals working in a remote SAS role, and how can they be addressed?

One of the main challenges in a remote SAS role is maintaining effective communication and collaboration with team members, especially when working across different time zones. Additionally, remote SAS professionals may face difficulties in accessing secure data environments and ensuring compliance with data privacy protocols. To address these challenges, it's important to develop strong self-management skills, make use of collaboration tools, and proactively schedule regular check-ins with colleagues. Familiarity with secure remote desktop or VPN solutions is also essential for accessing sensitive datasets safely.

What is the difference between Remote SAS and Remote Data Analyst?

AspectRemote SASRemote Data Analyst
Required CredentialsSAS certification, programming skillsStatistical or data analysis degree, Excel, SQL
Work EnvironmentData analysis, programming, reportingData interpretation, visualization, reporting
Industry UsageFinance, healthcare, governmentBusiness, marketing, healthcare

Remote SAS roles focus on programming and statistical analysis using SAS software, often requiring certifications. Remote Data Analysts interpret data, create reports, and visualize findings, typically with different tools. Both roles are in data-driven industries but differ in technical skills and daily tasks.

What are the most commonly searched types of Sas jobs in Michigan?

The most popular types of Sas jobs in Michigan are:

What cities in Michigan are hiring for Remote Sas jobs?

Cities in Michigan with the most Remote Sas job openings:

Infographic showing various Remote Sas job openings in Michigan as of August 2026, with employment types broken down into 58% Full Time, 36% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted 8 days ago


Intertape Polymer Group rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

74th of 120 rated packaging manufacturers


Job description

Join the IPG Team!
Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions-we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!
This position can be based out of Marysville, MI, or work remotely with some travel as needed.
Title: Senior Data Scientist
Department: Research and Development
Immediate Supervisor: R&D Vice President
Status: Exempt Salaried
Position Purpose: The Senior Data Scientist willsupport R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.
Principle Accountabilities
  • Partner with polymer scientists, chemists, and engineers to support bio-polymer research and development using data-driven methods
  • Analyze and model experimental, formulation, and process data to identify structure-property-process relationships
  • Develop predictive models to support:
    • Material performance and property optimization
    • Formulation design and screening
    • Scale-up and process optimization
  • Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
  • Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
  • Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets
  • Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D
  • Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders
  • Understanding of data visualization best practices
  • Experience working with batch or streaming data processes a plus
  • Contribute to data dictionaries and process flow diagrams for complex data solutions
  • Mentor junior data scientists or technical staff and contribute to data science best practices within R&D
  • Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research

Essential Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master's or PhD preferred
  • 10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred
  • Strong proficiency in Python and/or R for data analysis and modeling
  • Solid experience with SQL and working with structured and semi-structured datasets
  • Strong foundation in statistics, experimental design, and multivariate analysis
  • Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data
  • Ability to work effectively in a cross-functional R&D environment
  • Strong communication skills with the ability to translate complex analyses into actionable insights
  • Familiarity with bio-polymers, sustainable materials, or polymer processing, preferred
  • Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred
  • Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred
  • Prior experience mentoring or leading technical projects, preferred

Why Choose IPG?
At IPG, you will find more than just a job-you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.
Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.
With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!
We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.
You belong here. Join us today!

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