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Polymer Computational Scientist Jobs (NOW HIRING)

University of South Carolina

Post Doctoral

Los Angeles, CA · On-site

$53K - $73K/yr

Experience with molecular simulation, machine learning, or related computational methods for molecular or materials systems. * Background in polymer science, soft materials, complex fluids, or ...

The Pennsylvania State University

$15 - $18.75/hr

POSITION SPECIFICS The Institute for Computational and Data Sciences (ICDS) at Penn State ... D. in Polymer Engineering, Materials Science and Engineering, Chemical Engineering, Mechanical ...

VS-Postdoc

Design and execute research on measuring ionizing-radiation dose using polymer chain scission ... Develop physical, statistical, and computational models linking radiationchemistry, direct/indirect ...

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Polymer Computational Scientist information

See salary details

$50.5K

$111.3K

$137.5K

How much do polymer computational scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for polymer computational scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

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For Polymer Computational Scientist jobs, the most frequently searched job titles are:

Infographic showing various Polymer Computational Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Applied ML Scientist - Chemistry

Columbus, OH • On-site

Hexion, Inc.
Chemical Manufacturing • 10K+ employees
Learn more about Hexion, Inc.external

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Key responsibilities

  • Lead ML model development for prediction and optimization across chemistry, formulation, property, and process.

  • Collaborate with R&D and manufacturing on problem framing and translate business goals into multi-objective optimization modeling tasks.

  • Curate and analyze chemical and experimental data, assessing quality and structure to inform modeling.

Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Job Responsibilities
  • Lead ML model development for prediction and optimization across chemistry, formulation, property, and process.
  • Collaborate with R&D and manufacturing on problem framing and translate business goals into well-posed multi-objective optimization modeling tasks.
  • Curate and analyze chemical and experimental data, assessing quality and structure and the limits it places on modeling.
  • Develop and select input representations for raw materials, chemistry, and signal data, such as molecular descriptors and fingerprints, learned embeddings, and spectral features.
  • Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
  • Quantify and calibrate model performance and uncertainty, and define each model's domain of validity for downstream use.
  • Apply transfer learning to make use of multiple data sources, such as related tasks, prior campaigns, and data of varying fidelity and completeness.
  • Explore and adopt emerging ML methods, including LLM and agentic approaches, to advance modeling.
  • Communicate methods, results, and their limitations clearly to technical and non-technical audiences.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field, with substantial relevant experience in ML modeling experience for chemistry, formulation, process, or manufacturing problems.
  • Domain knowledge in chemistry, preferably polymer chemistry.
  • Demonstrated ability to develop molecular and materials representations and to select, train, and evaluate predictive models across families.
  • Experience in applied statistics and uncertainty quantification, including model calibration and domain of validity.
  • Strong Python skills and experience with mainstream Python-based ML frameworks and tools.
  • Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches.
  • Strong communication, collaboration, and stakeholder management skills for working with R&D, manufacturing, and business teams.

Preferred Qualifications
  • Master's degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field.
  • 5+ years experience.
  • Experience with cheminformatics, chemistry foundation models and physics-informed modeling.
  • Familiarity with active learning, Bayesian optimization, and related techniques.
  • Knowledge of ML engineering core tasks and techniques, such as data and optimization pipelines, model deployment, and MLOps.

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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