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Remote Materials Informatics Scientist Jobs (NOW HIRING)

Lead Health Informatics Analyst Job Location: 100% Remote Contract Duration: 6 to 9 Months plus ... Bachelor's degree in health informatics, Computer Science, Information Technology, Health Sciences ...

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the Informatics Team and will be fully remote in the California area with ...

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the Informatics Team and will be fully remote in the California area with ...

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the Informatics Team and will be fully remote in the California area with ...

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the Informatics Team and will be fully remote in the California area with ...

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the Informatics Team and will be fully remote in the California area with ...

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the Informatics Team and will be fully remote in the California area with ...

Are you ready to accelerate your potential and make a real difference within life sciences ... This position is part of the Informatics Team and will be fully remote in the California area with ...

... sciences data. • Serve as liaison between clinical subject matter experts and technical ... training materials, standard operating procedures, and user guides for health IT systems. • ...

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Remote Materials Informatics Scientist information

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$42.5K

$98.4K

$166.5K

How much do remote materials informatics scientist jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote materials informatics scientist in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Materials Informatics Scientist vs Remote Materials Data Analyst?

AspectRemote Materials Informatics ScientistRemote Materials Data Analyst
Required CredentialsAdvanced degree in materials science, informatics, or related field; knowledge of data science and programmingBachelor's or master's in materials science, data analysis, or related field; proficiency in data tools
Work EnvironmentResearch-focused, interdisciplinary teams, often in R&D settingsData-driven roles within manufacturing, quality control, or research teams
Employer & Industry UsageUsed in R&D labs, tech companies, and materials innovation firmsCommon in manufacturing, quality assurance, and analytics departments

The Remote Materials Informatics Scientist focuses on developing models and algorithms to analyze materials data, often requiring advanced degrees and research experience. In contrast, the Remote Materials Data Analyst primarily interprets existing data to support decision-making, typically with a bachelor's or master's degree. Both roles are vital in materials industries but differ in scope, responsibilities, and required expertise.

More about Remote Materials Informatics Scientist jobs
What cities are hiring for Remote Materials Informatics Scientist jobs? Cities with the most Remote Materials Informatics Scientist job openings:
What are the most commonly searched types of Materials Informatics Scientist jobs? The most popular types of Materials Informatics Scientist jobs are:
What states have the most Remote Materials Informatics Scientist jobs? States with the most job openings for Remote Materials Informatics Scientist jobs include:
Infographic showing various Remote Materials Informatics Scientist job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $98,409 per year, or $47.3 per hour.
Data Scientist - Materials R&D - Remote-Travel

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Posted 15 days ago


Intertape Polymer Group rating

6.8

Company rating: 6.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

76th of 110 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 will support 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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