Research Scientist

Research Scientist

Hiring Department:
Department of Psychology. Position Open To:
All Applicants. Weekly Scheduled

Hours:

40. FLSA Status:
Exempt from FLSA. Earliest

Start Date:

Aug 31, 2026. Position Duration:
Expected to Continue Until Aug 30, 2027.

Location:

UT MAIN CAMPUS.

The Research Scientist will lead and contribute to interdisciplinary research programs in neuroimaging, tractography, neuroinformatics, scientific data standards, artificial intelligence, and research cyberinfrastructure. The position requires scientific independence, technical leadership, effective project execution, and sustained contributions to peer-reviewed research, externally funded programs, open-source software, data standards, and collaborative scientific initiatives. The Research Scientist will be responsible for completing assigned projects in accordance with established scientific objectives, milestones, deliverables, and timelines.

Performance will be evaluated based on the quality, timeliness, completeness, reproducibility, and scientific impact of the individual’s work. The position offers opportunities to develop an independent scientific profile, contribute to cutting-edge computational and data-intensive research, collaborate with multidisciplinary national and international teams, and gain experience in scientific leadership, open science, sponsored research, research governance, and the development of shared scientific infrastructure.

This is a one year fixed-term position. The role provides advanced scientific and technical expertise required to lead complex research projects, develop and maintain research software and data infrastructure, manage compliance and data governance activities, coordinate multi-institutional collaborations, and contribute to grant-funded research programs.

• Research and Scholarly Productivity
• Research Software, Data, and Cyberinfrastructure
• Data Governance, Compliance, and Laboratory Operations
• Sponsored Research and Collaborative Program Management
• Community Engagement, Mentoring, and Professional Development

• Ph.D. in neuroscience, psychology, computer science, biomedical engineering, data science, artificial intelligence, or a closely related field.
• A minimum of five years of postdoctoral or equivalent research experience.
• Demonstrated record of independently completing research projects and producing peer-reviewed publications.
• Demonstrated experience managing multidisciplinary, multi-institutional, or international scientific collaborations.
• Demonstrated experience contributing substantively to competitive grant proposals and externally funded research programs.
• Experience preparing Data Use Agreements, data-access applications, Institutional Review Board submissions, or comparable research-compliance materials.
• Demonstrated experience organizing scientific workshops, hackathons, training programs, or comparable collaborative activities.
• Demonstrated experience mentoring undergraduate students, graduate students, research staff, or postdoctoral scholars.
• Relevant education and experience may be substituted as appropriate.

• Demonstrated expertise in tractography, diffusion MRI, neuroinformatics, computational neuroscience, brain connectivity, or large-scale neuroimaging analysis.
• Experience developing, maintaining, or contributing to scientific software, cloud-based research platforms, research cyberinfrastructure, or other shared scientific resources.
• Demonstrated knowledge of FAIR data principles, scientific data and metadata standards, provenance models, interoperability, and data harmonization.
• Experience working with large public or controlled-access scientific repositories and managing data under institutional, sponsor, and regulatory requirements.
• Experience with high-performance computing, cloud computing, containerized workflows, workflow-management systems, version control, continuous integration and deployment, software testing, and modern scientific software-engineering practices.
• Experience developing or applying artificial intelligence, machine learning, large language models, knowledge graphs, semantic technologies, or intelligent software agents to scientific discovery, scientific data management, scientific workflows, or research cyberinfrastructure.
• Experience designing interoperable data systems, application programming interfaces, metadata services, or computational tools that connect scientific repositories, analysis environments, and research platforms.
• Demonstrated contributions to open-source software, community data standards, scientific working groups, FAIR data initiatives, or national and international research consortia.
• Excellent scientific communication skills, including preparation of manuscripts, grant proposals, progress reports, technical documentation, training materials, presentations, and meeting records.
• Evidence of national or international scientific visibility through invited presentations,…