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Associate Machine Learning Chemistry Jobs in Texas

NobleAI

Senior Applied AI/ML Scientist

Houston, TX · On-site

By combining physics and chemistry expertise with advanced machine learning, our platform improves resource recovery, asset performance, and product quality. We serve companies that rely on precise ...

ClinLab Solutions Group

MOCVD Scientist

Houston, TX · On-site

Experience with kinetic modeling, computational chemistry, reaction pathway modeli * ng.Experience using machine learning for process developme * nt.Programming experience (JMP, Python, MATLAB, or ...

Charles Schwab Inc.

Principal Data Scientist

Austin, TX · On-site

$215K - $235K/yr

Design and build end - to - end machine learning systems by defining scalable, reliable, and ... chemistry, or a related discipline. * 8+ years of hands - on experience using Python and SQL to ...

Charles Schwab

Principal Data Scientist

Austin, TX

Design and build end ‑ to ‑ end machine learning systems by defining scalable, reliable, and ... chemistry, or a related discipline. * 8+ years of hands ‑ on experience using Python and SQL to ...

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All JobsAssociate Machine Learning Chemistry JobsAssociate Machine Learning Chemistry Jobs in Texas

Associate Machine Learning Chemistry information

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What are Associate Machine Learning Chemists?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an Associate Machine Learning Chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.
What are the most commonly searched types of Machine Learning Chemistry jobs in Texas? The most popular types of Machine Learning Chemistry jobs in Texas are:
What are popular job titles related to Associate Machine Learning Chemistry jobs in Texas? For Associate Machine Learning Chemistry jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Chemistry jobs in Texas look for? The top searched job categories for Associate Machine Learning Chemistry jobs in Texas are:
What cities in Texas are hiring for Associate Machine Learning Chemistry jobs? Cities in Texas with the most Associate Machine Learning Chemistry job openings:
Associate Machine Learning Chemistry jobs near you
Postdoctoral Research Associate

Postdoctoral Research Associate

The University of Texas at Arlington

Arlington, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 7 days ago

University Of Texas At Arlington rating

7.5

Company rating: 7.5 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

267th of 541 rated colleges and universities

Job description

Position Information
Posting Number F00751P Position Title Postdoctoral Research Associate Department Chemistry Location Arlington Job Family Faculty Position Status Full-time Rank Post-Doc Work Hours Standard Open to External and Internal FLSA Exempt Duration Job terminates Pay Basis Monthly Benefits Eligible Yes Job Summary
The research group of Dr. Kwangho Nam in the Department of Chemistry and Biochemistry, College of Science, at the University of Texas at Arlington invites applications for a Postdoctoral Research Associate position focused on QM/MM and Machine Learning Development, with Applications to Enzyme Mechanism Research.

This position is expected to start immediately.
About Professor Nam's research group
Dr. Nam's research, supported by NIH and Welch Foundation, focuses on the development of hybrid QM/MM methodologies, machine learning approaches, and advanced free energy simulation methods. These methods are applied to investigate enzyme catalysis, conformational dynamics, allosteric regulation, and drug discovery. The group utilizes state-of-the-art computational tools, including CHARMM, AMBER, OpenMM, and a range of quantum chemistry programs.
Benefits at UTA
We are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
Essential Duties and Responsibilities
Postdoctoral Research Associate will conduct research focused on the development and application of advanced QM/MM and machine learning methodologies to investigate enzymatic reaction mechanisms. Responsibilities include performing computational simulations, analyzing results and effectively communicating findings through written reports and oral presentations. The Postdoctoral Research Associate will work under the supervision of Prof. Nam while contributing independently to ongoing research projects.
Required Qualifications
Applicants must hold a Ph.D. in chemistry, physics, or a closely related field. The ideal candidate will demonstrate creativity, independence, and strong motivation. A solid background in computational and theoretical chemistry is required, including experience with molecular dynamics simulations, statistical mechanics, and electronic structure theory. Proficiency in scientific programming is essential, with experience in Python, Fortran, and parallel computing frameworks (e.g., MPI and OpenMP) and/or GPU-accelerated computing.
Preferred Qualifications Special Conditions for Eligibility Department Information
The UTA Chemistry and Biochemistry Department offers many specialized undergraduate degree programs that offer an excellent foundation in chemistry and biochemistry, and our graduate programs provide advanced training in a collaborative research environment which has the Carnegie Classification's highest rating: R1 Doctoral Universities - "Very High Research Activity." The UTA Chemistry and Biochemistry Department hosts 23 tenured and tenure-track faculty and several scientists conducting highly innovative and collaborative research. Guided by its Strategic Plan 2025: Bold Solutions/Global Impact, the University fosters interdisciplinary research and education within five broad themes: health and the human condition, sustainable communities, global environmental impact, data-driven discovery and culture and society transformations. Its strategic location in the heart of the Dallas-Fort Worth (DFW) metroplex also offers a rich environment for industry-university collaboration in research and development.
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 "Very High Research Activity" institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times' "Best for Vets: Colleges" and is the top university in North Texas for its graduates' salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 - including leaders at many of the 24 Fortune 500 companies headquartered in North Texas - UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university's strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100.
This is an exciting time to join UTA and contribute to its bold vision for the future.
Working Title EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University's compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu.
Posting Detail Information
Number of Vacancies 1 Desired Start Date 05/06/2026 Open Date 04/30/2026 Review Start Date Open Until Filled Yes Special Instructions to Applicants
To apply, applicants should go to https://apply.interfolio.com/185677 and submit the following materials:
Required Documents
  • Curriculum Vitae 
  • Cover Letter 
  • Contact References (provide one document with three contacts who may serve as recommenders).

Review of applications will begin immediately and will continue until the position is filled. Applicants are encouraged to apply early for the best consideration.
Questions may be addressed to Dr. Nam at Kwangho.nam@uta.edu.
For more information about UTA, please visit: http://www.uta.edu/uta. 

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