The Research Assistant provides skilled administrative and technical support for faculty research. The role involves assistance across various phases of research projects, including data analysis, literature reviews, and software use. The RA may also assist in preparing proposals for funding agencies, managing research-related tools, and coordinating with faculty and other research personnel.

Salary: $50,000.00/annually

Essential Duties/Tasks

Research Projects

• Assist in the planning and implementation of research design across multiple research projects. RAs should expect to work on at least two projects at any given time.

• Retrieves and keeps detailed records of data used in research

• Assists in the installation and operation of research software

• Conduct data analysis, statistical modeling, and technical evaluation of experimental results

• Evaluate and summarize estimation results.

Additional Research Support

• When not assigned to specific research projects, and if time permits, support faculty with short-term research-related tasks.

• These may include, but are not limited to: data retrieval, literature reviews, paper editing, and mentoring junior RAs.

Qualifications

Required Education and Experience

• Bachelor’s degree in finance, economics, statistics, computer science, or another relevant quantitative field.

• No previous work or research experience required.

Preferred Qualifications

• Interest in pursuing a PhD in finance, economics, statistics, computer science, or related field.

• Strong data analytics skills.

• Consistency maintaining integrity and trust in all professional interactions.

• Exercise discretion and sound judgment when handling sensitive or confidential information.

• Interest in statistical analysis to uncover trends and inform decision-making.

• Ability to work cooperatively with others.

• Ability to manage multiple projects simultaneously.

Knowledge, Skills, and Abilities

• Proficiency with computers and relevant software.

• Advanced coding skills in at least one or more of the following: Python, SAS, STATA, Matlab, or related statistical packages.

• Strong attention to detail and high ethical standards.

• Willingness to learn and acquire new skills as needed.

• A proactive, can-do attitude with a creative approach to problem-solving.

• Ability to work independently and think critically — not just carry out instructions.

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experience.  Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.