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Remote Polymer Membrane Scientist Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The post-doctoral candidate will be working on a variety of projects involving membrane science and ...

The Pennsylvania State University

For additional information on remote work at Penn State, seeNotice to Out of State Applicants. POSITION SPECIFICS We are seeking scientists and engineers to join the Polymer Composite Manufacturing ...

The Pennsylvania State University

$25/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Job duties to include: * synthesizing polymer materials * measure the dielectric properties ...

ChemTreat

Technical Consultant

$150K - $165K/yr

About the Role Reporting to the Sr. Manager, Pretreatment & Polymer, the Technical Consultant plays ... This position is part of the Technical Services team and will be remote (USA) , with significant ...

Teknor Apex

Account Manager

Pawtucket, RI · Remote

... remote role. * Bachelor's degree or equivalent experience required; a technical degree in engineering, chemistry, polymer science, materials science, or a related field is preferred. * Routine travel ...

ChemTreat

Technical Consultant

$150K - $165K/yr

About the Role Reporting to the Sr. Manager, Pretreatment & Polymer, the Technical Consultant plays ... This position is part of the Technical Services team and will be remote (USA) , with significant ...

Teknor Apex Company

Account Manager

Pawtucket, RI · On-site +1

... remote role. * Bachelor's degree or equivalent experience required; a technical degree in engineering, chemistry, polymer science, materials science, or a related field is preferred. * Routine travel ...

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Remote Polymer Membrane Scientist information

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$58.5K

$87.8K

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How much do remote polymer membrane scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote polymer membrane scientist in the United States is $87,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What does a remote polymer membrane scientist do?

A Remote Polymer Membrane Scientist researches, designs, and develops polymer-based membranes for various applications, such as water purification, gas separation, or energy storage, while working remotely. They use their expertise in polymer chemistry, material science, and membrane technology to optimize membrane properties and performance. Their work often involves data analysis, virtual collaboration with research teams, writing reports, and staying current with scientific advancements—all accomplished from a remote work environment.

What are some common challenges faced by remote polymer membrane scientists, and how can they be addressed?

Remote Polymer Membrane Scientists often face challenges related to limited access to laboratory facilities and hands-on experimental work. Collaborating effectively with on-site teams and ensuring high-quality data collection can require strong communication skills and meticulous documentation. To address these challenges, many professionals utilize virtual lab management tools, schedule regular video meetings for project updates, and participate in collaborative cloud-based data analysis. Building a strong rapport with colleagues and maintaining clear communication channels are key to overcoming these hurdles and ensuring successful project outcomes.

What are the key skills and qualifications needed to thrive as a remote polymer membrane scientist, and why are they important?

To thrive as a Remote Polymer Membrane Scientist, you need a strong background in polymer chemistry, membrane science, and typically a PhD or advanced degree in chemical engineering, materials science, or a related field. Familiarity with analytical techniques (e.g., SEM, FTIR, TGA), membrane fabrication methods, and data analysis software is essential, along with experience using virtual collaboration tools. Excellent problem-solving, self-motivation, and clear written communication are vital soft skills for remote research roles. These skills ensure innovative research, effective collaboration across distances, and the ability to independently drive projects to completion.
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Remote Polymer Membrane Scientist jobs near you
Infographic showing various Remote Polymer Membrane Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 91% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $87,842 per year, or $42.2 per hour.

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted 19 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

76th 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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