Postdoctoral Research Associate

About the role

The Institute for Health Disparities (IHD) at the University of North Texas Health Science Center (HSC) is seeking a motivated Postdoctoral Research Associate with expertise in cancer prevention, cancer therapy, Artificial Intelligence & Machine Learning (AI/ML), data science, or related fields.

Responsibilities

• Develop and apply research methodology including biomedical, AI/ML, data science, and digital technologies to advance IHD’s mission across research, workforce development, and community engagement.
• Analyze and interpret complex datasets using statistical, computational, and machine learning methods, and communicate findings through reports, dashboards, visualizations, and presentations.
• Prepare manuscripts, participate in grant proposals, technical reports, educational materials, and presentations for scientific, professional, and community audiences/stakeholders.
• Support and train students, trainees, and other audiences in AI, data science, and computational methods through mentorship, technical instruction, and hands-on learning experiences that contribute to workforce development.
• Stay current with emerging trends and scientific literature, contribute to strategic initiatives by identifying emerging technologies, support proposal development, and help translate innovative ideas into impactful programs, products, or services.
• Collaborate with faculty, students, community partners, healthcare organizations, industry, and other stakeholders to develop innovative solutions, foster partnerships, and support interdisciplinary initiatives.

Requirements

• Doctoral degree. If not yet conferred, a letter from the school's official Graduate Office and/or Registrar's Office certifying that all requirements have been met and stating the degree conferral date can be accepted.
• Employees in this job may be responsible for conducting research on, working on, or having the ability to access critical organizational infrastructure and they must be able to maintain the security and integrity of the infrastructure related to this role.

Skills and Abilities

• Excellent communication skills
• Project organization/management skills
• Advanced training in quantitative research methods
• Ability to work independently and as a team member
• Design, implement, and evaluate AI-enabled tools, software applications, data pipelines, and digital platforms that support research, education, training, and community-focused initiatives
• Experience with programming languages, machine learning frameworks, and familiarity with computing in the cloud/on HPC
• Strong data visualization and communication skills for technical and non-technical audiences
• Experience with interdisciplinary or collaborative research environments
• Experience publishing in peer-reviewed journals or presenting at conferences
• Familiarity with STEMM, public health, or health disparities research (or related fields)
• Ability to manage multiple projects and meet deadlines in dynamic research settings
• Strong problem-solving and critical thinking skills

Qualifications

• Minimum qualifications: Doctoral degree.
• Preferred qualifications: Design, implement, and evaluate AI-enabled tools, software applications, data pipelines, and digital platforms that support research, education, training, and community-focused initiatives; Experience with programming languages, machine learning frameworks, and familiarity with computing in the cloud/on HPC; Strong data visualization and communication skills for technical and non-technical audiences; Experience with interdisciplinary or collaborative research environments; Experience publishing in peer-reviewed journals or presenting at conferences; Familiarity with STEMM, public health, or health disparities research (or related fields); Ability to manage multiple projects and meet deadlines in dynamic research settings; Strong problem-solving and critical thinking skills.

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit – and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.