Research Program Aide

Texas A&M University System • College Station, TX

2d • Onsite

About The Position

Texas A&M’s Department of Chemistry is seeking a Research Program Aide to support research at the intersection of computational chemistry, machine learning, and high-throughput materials discovery. This role will involve assisting with data curation, automating computational workflows, and analyzing results to support the design and screening of organic functional materials. Projects may include neural network training, structure–property prediction, and the development of inverse design strategies. This position is well suited for individuals with interests in physical chemistry, cheminformatics, machine learning, and scientific computing.

Requirements

• High School Diploma or GED.
• Experience with Python programming.
• Basic knowledge of chemistry or materials science.
• Familiarity with machine learning techniques and tools.
• Ability to effectively communicate both orally and in writing.
• Strong analytical and problem-solving skills.
• Proficiency in Python programming.
• Knowledge of computational chemistry and materials science principles.
• Ability to work independently and collaboratively in a research environment.

Responsibilities

• Collect, organize, and maintain datasets relevant to computational chemistry and materials science research.
• Develop and implement automated workflows for computational experiments and simulations.
• Analyze computational results to identify trends and insights for the design and screening of organic functional materials.
• Assist in training neural networks for structure property prediction and inverse design strategies.

Benefits

• Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
• 12-15 days of annual paid holidays
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
• Automatic enrollment in the Teacher Retirement System of Texas
• Free exercise programs and release time
• All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
• Educational release time and tuition assistance for completing a degree while a Texas A&M employee

What This Job Offers

• Career Level: Entry Level
• Education Level: High school or GED