Job Description:
Computational Chemist
Huntsman is seeking a Computational Chemist supporting the Performance Products Division located in The Woodlands TX (Huntsman Advanced Technology Center HATC). This position will report to the Technology Manager.
This role focuses on designing simulating and optimizing advanced materials using state-of-the-art computational chemistry molecular modeling and data-driven techniques. The position accelerates materials discovery by integrating quantum chemistry molecular dynamics machine learning and enterprise data systems to support innovation in polymers catalysts composites and other materials.
Compile and analyze experimental data from archived projects using ELN software and scripting tools.
Build maintain and optimize end-to-end data pipelines feeding the enterprise Generative AI Platform.
Develop and test LLM-based architectures and agentic systems for structured and unstructured data.
Translate domain-specific chemistry and material science problems into computational solutions.
Automate processes between ELN and LIMS systems.
Develop and apply computational models to predict properties and performance of materials.
Conduct simulations using DFT molecular dynamics and mesoscale modeling.
Validate computational models through close collaboration with experimental scientists.
Analyze large datasets to identify structureproperty relationships.
Maintain and enhance computational workflows for high-throughput screening.
Maintain and troubleshoot ELN and chemical inventory systems.
Present results to cross-functional teams and stakeholders.
Follow all Huntsman policies and data privacy/security requirements.
Perform additional duties as assigned.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
The candidate must have an unrestricted right to work for Huntsman in the United States.
Education required:
Masters or Ph.D. in Computational Chemistry Materials Science or a related field.
Experience required:
2 years of experience in computational modeling of materials (industry or postdoctoral).
Proficiency with molecular modeling software such as Materials Studio or similar.
Experience with Python MATLAB SQL or other scripting languages.
Candidates must demonstrate:
Strong foundation in quantum chemistry thermodynamics and statistical mechanics.
Familiarity with materials informatics and machine learning methods.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to manage multiple projects in a fast-paced environment.
Experience with high-performance computing or cloud simulation platforms.
Knowledge of electronic structure calculations and surface/interface modeling.
Knowledge of web development frameworks and advanced machine learning workflows.
On-site role at HATC in The Woodlands TX.
Minimal travel may be required (collaboration conferences).
Must adhere to Huntsmans safety environmental and regulatory standards.
Huntsman is proud to promote equal opportunity in the workplace All qualified applicants will receive consideration for employment without regard to their race color religion sex national origin disability age or any other protected characteristic.
All unsolicited resumes presented by recruitment agencies are treated as pro bono information or service and will not be compensated.
Huntsman is aware of scams involving fraudulent job offers. We do not make job offers until after a candidate has submitted a job application and has participated in an interview. Please be advised that any job offer that requires payment or requires you to deposit a check is likely a scam. If you have questions about any open positions at Huntsman or Rubison please visit our Careers website at Locations:
Huntsman Corporation is a publicly traded global chemical manufacturer of differentiated and specialty chemicals serving a diverse range of consumer and industrial end markets.