Qualifications
Responsibilities
Benefits
Job Posting Title:
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----
Job Details:
General NotesThe 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.
PurposeThe 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.
ResponsibilitiesResearch 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.
Preferred QualificationsDemonstrated 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, leadership roles, consortium participation, or contributions to widely adopted software, standards, AI tools, or research infrastructure.
$83,487
Required MaterialsResume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Importantfor applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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