Post Doc Chemist in Santa Ana, CA at Behr Process Corporation

Date Posted: 6/4/2019

Job Snapshot

Job Description

Job Description


Behr is seeking a full-time Postdoctoral Researcher to join our new technology research team. The candidate will conduct research in the area of advanced materials (polymeric materials, nanoparticles, surface active agents, specialty additives, and pigments) to identify materials that can be utilized to add value to Behr’s coating portfolio.

The position will allow the candidate to research new technologies and incorporate the technology into Behr’s architectural coatings. The candidate will utilize statistical data analysis and machine learning tools to build predictive models, create algorithms to extract information from large data sets and deploy the algorithms to different areas of R&D and/or production to identify actionable insights from large databases.

This position offers the same benefits as a full-time employee, and has potential for growth within the company.


Research new technology concepts that add value to architectural coatings

Engage and collaborate with vendors to develop new technologies that meet performance targets

Identify opportunities to apply Machine Learning and Artificial Intelligence tools to build, test, and validate predictive models

Contribute to internal discussions on emerging machine learning and data analysis methodologies

Interact cross-functionally with groups outside of R&D to meet project timelines and milestones

Provide project updates via oral presentations and written reports. Ability to effectively communicate technical results and recommendations to non-technical personnel is critical

Keep track of technology developments in the coatings and material science research community

Train and mentor junior chemists and technicians


Ph.D. in Chemistry, Polymer Chemistry, Material Science, Polymer Science, Chemical Engineering, Computational Chemistry or a related field

Strong communication skills

Self-motivated creative problem solver

Demonstrated ability to work as part of a team and independently

Experience in a statistical or computational data analysis is desired with proficiency in Python, R, or other scripting language. Machine learning or deep learning experience is also desired.


Full or Part Time

Full time

BEHR (the “Company”) is an equal opportunity employer and we want to have the best available persons in every job. The Company makes employment decisions only based on merit. It is the Company’s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.

BEHR is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.

E-Verify Participation Poster: English & Spanish
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No visa sponsorship is available for this position, unless specified within the job description.