Postdoctoral Research Associate – Shireman Lab

Job Title

Postdoctoral Research Associate – Shireman Lab

Agency

Texas A&M University Health Science Center

Department

Medical Physiology

Proposed Minimum Salary

Commensurate

Job Location

Bryan, Texas

Job Type

Staff

Job Description

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 experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.   

Who We Are

As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research and team-based health care delivery.

What We Want

The Postdoctoral Research Associate works with a multidisciplinary team on clinical studies to develop aging in place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital twins and communicates data in the form of primary research articles, aides in grant writing, supervises graduate and undergraduate students and performs routine research duties as required.

What You Need To Know

Salary: Will be commensurate based on the selected hire’s education and experience.

Location: Bryan, TX; This position may require up to 20% or more travel and occasional trips to independent/assisted living facilities and other locations.

Schedule: Full-Time; May have to work on the weekend and/or after normal hours.

Please note: This position is grant funded; future employment may be contingent upon future funding.

Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents to the application under CV/Resume.

Required Education And Experience

• Appropriate PhD in a related field.
  
  
  

Preferred Qualifications

• Experience with machine learning and deep neural network techniques.
• Experience with wearable and sensors placed in the environment.
• Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces.
• Experience with agentic large language models
• Experience in artificial intelligence to develop the algorithms for digital twins
• Experience with both qualitative and quantitative data analysis techniques
• Experience in cleaning and analyzing healthcare data
  
  
  

Responsibilities

Research and Data Analysis

• Under general supervision conducts research into their field of expertise.
• Utilizes knowledge and skills granted to them by their education and expertise to complete research projects in their field of expertise.
• Assists with the preparation and cleaning of data.
• Engages with research participants
• Works with study coordinator, postdoctoral fellows, faculty, graduate, undergraduate, and medical students
• Develops and evaluates artificial intelligence and machine learning algorithms for sensor data
• Analysis of digital pen data
• Analyzes data using artificial intelligence techniques
• Develops user-interface design
  
  
  

Manuscript and Grant Proposal Writing

• Performs literature searches
• Writes first drafts of manuscripts and revise based upon feedback
• Assists with writing grant proposals
  
  
  

Mentoring

• May assist, mentor, and/or supervise student researchers and/or graduate students who are working on research related to the project.
  
  
  

Presentations

• Prepares presentation materials on research topic that may be presented to small and/or large groups.
• Actively participates in the preparation of required technical progress reports to research sponsors.
  
  
  

Why Texas A&M University?

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you.  Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.  

• 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  
• Health and Wellness: Free exercise programs and release time 
• Professional Development: 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 
• Living Well, a program at Texas A&M that has been built by employees, for employees 
  
  
  

Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.