Rsch Pro -Data Analytics

Job

Location:

Twin Cities
Job Family:
Research
Full/Part Time:
Full-Time
Regular/Temporary:
Regular
Job Code: 9791DA
Employee Class:
Acad Prof and Admin

Responsibilities
Data Governance, Pipelines & Technical Execution (40%)
Ensure all external and multi-site dataset transfers strictly comply with fully executed Data Access Agreements (DAAs) before ingesting and storing data on local storage systems.
Manage high-level data storage architecture, file directory organization, and data curation standards across local servers and high-performance computing (HPC) systems.
Execute end-to-end neuroimaging data processing pipelines using Linux-based environments and specialized neuroimaging software (e.g., FSL, Free Surfer, Connectome Workbench).
Conduct Brain-Wide Association Studies (BWAS) estimations and related large-scale statistical associations.
Implement statistical and computational harmonization methods across datasets, specifically utilizing techniques such as Com Bat and functional connectivity residualizer approaches ().
Apply advanced computational models including metamatching, transfer learning algorithms, and regularization techniques to derive predictive scores and robust brain-behavior mappings.
Lead the development, maintenance, and feature expansion of the PNRS framework and associated repositories (e.g., Git Hub) for internal and collaborative projects.
Scientific Writing, Dissemination & Grant Support (30%)
Analyze complex neuroimaging and behavioral datasets across single-site and multi-site cohorts, evaluate statistical models, and synthesize results.
Lead and co-author scientific manuscripts for publication in peer-reviewed journals.
Assist faculty with grant preparation, progress reports, and research proposals for federally funded and foundation-sponsored projects.
Present research findings at internal seminars, collaborative partner meetings, and external national/international scientific conferences.
Lab Coordination, Collaboration & Mentorship (30%)
Serve as a technical point of contact for external collaborators and multi-site project teams utilizing PNRS or related analytical frameworks.
Supervise, train, and mentor junior lab personnel, trainees, and students on data storage protocols, processing pipelines, quality control, and coding standard practices.
Participate actively in lab and cross-project meetings, present analytical progress, and provide constructive technical feedback to team members and collaborators.
Oversee data sharing protocols, research records management, and code distribution compliance in accordance with University policy and data-sharing agreements.
Foster an inclusive, highly collaborative, and professional research environment.

Required Qualifications
Doctoral degree (Ph.D.) in Psychology, Biomedical Engineering, Neuroscience, Biostatistics, Data Science, or a related field, plus four years of relevant experience OR a BA/BS degree in a related field with at least six years of relevant advanced research experience.
Demonstrated research experience combining quantitative behavioral analysis, neuroimaging, mathematical modeling, or computational neuroscience.
Proven experience in data storage administration, data organization, and maintaining compliance with Data Access Agreements (DAAs).
Hands-on experience with neuroimaging processing pipelines

Demonstrated proficiency in data harmonization methods (e.g., Com Bat, residualization techniques).
Strong programming experience in languages and scientific platforms relevant to neuroimaging and big-data analytics (e.g., Python, MATLAB, R, Linux/Bash, C/C++).

Preferred Qualifications
Experience implementing machine learning, transfer learning, metamatching, or regularization strategies…