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Remote Scientific Computing Jobs in Michigan (NOW HIRING)

Partners with scientific/analytics users and business leaders to translate workload demand into a ... PHYSICAL POSITION REQUIREMENTS Primarily office/remote knowledge-work role; prolonged periods of ...

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... Cloud Computing platforms (e.g., AWS, Azure, Google Cloud Platform) for scalable infrastructure.

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... Cloud Computing platforms (e.g., AWS, Azure, Google Cloud Platform) for scalable infrastructure.

Quality Assurance Analyst

Three Rivers, MI · On-site +1

$55K - $65K/yr

... remote team environment. Preferred Education/Experience * Bachelor's degree in Computer Science ... Experience testing public safety, law enforcement, records management, CAD, mobile computing, or ...

Quality Assurance Analyst

Wyoming, MI · On-site +1

$55K - $65K/yr

... remote team environment. Preferred Education/Experience * Bachelor's degree in Computer Science ... Experience testing public safety, law enforcement, records management, CAD, mobile computing, or ...

$55K - $65K/yr

... remote team environment. Preferred Education/Experience * Bachelor's degree in Computer Science ... Experience testing public safety, law enforcement, records management, CAD, mobile computing, or ...

Bachelor's degree in Computer Science, Software Engineering, or a related field plus a minimum of ... Cloud Computing services including AWS or Azure; MVC design pattern; Automated Unit Testing; and ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Experience using cloud computing platforms, e.g., AWS or GCP. * Experience with MATLAB for ...

$22/hr

Actively pursuing a degree in Computer Science, Management Information Systems, Network ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote Scientific Computing information

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

Is remote scientific computing in demand?

Remote scientific computing is in high demand due to the increasing reliance on data analysis, modeling, and simulation across industries such as healthcare, energy, and technology. Professionals with skills in programming, data management, and familiarity with tools like Python, R, or MATLAB are sought after, especially in organizations supporting distributed teams and cloud-based environments.

What job categories do people searching Remote Scientific Computing jobs in Michigan look for?

The top searched job categories for Remote Scientific Computing jobs in Michigan are:

What cities in Michigan are hiring for Remote Scientific Computing jobs?

Cities in Michigan with the most Remote Scientific Computing job openings:

Data Scientist - Materials R&D - Remote-Travel

Marysville, MI • On-site, Remote

Intertape Polymer Group (IPG)
Manufacturing • 1 - 5K employees

Full-time

Re-posted 28 days ago


Key responsibilities

  • Partner with scientists 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, formulation design, and process optimization


Intertape Polymer Group rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

77th of 122 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
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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