The Bioinformatics Research Scientist/ Data Manager will a lead major initiative for the development and implementation of a centralized Data Management Core to support the expanding longitudinal clinical research cohort and associated collaborative studies at the Grossman Center for Memory Research and Care. This role will establish and lead the infrastructure necessary for secure data inventory, integration, processing, governance, and advanced analytics to support bioinformatics, translational, and clinical research initiatives. The role will have high impact that will enhance data integrity and reproducibility, accelerate bioinformatics discovery, improve competitiveness for NIH center-level funding, enable integration across clinical, imaging, and biomarker platforms, and position the Grossman Center as a data-driven leader in memory research and care. Work Schedule: Remote, Monday – Friday, 9 am – 5 pm 60% - Bioinformatics and Biostatistical Data Management:Independently design and implement a centralized data repository architecture for clinical,imaging, genomic, biomarker, and survey data. Lead and develop a comprehensive Data Management Core strategic plan. Lead the development and management of a secure data storage solutions compliant withinstitutional, HIPAA, and IRB standards. Lead the development of structured data pipelines for ingestion, transformation,harmonization, and validation. Independently develop a standardized metadata frameworks and data dictionaries. Manage the development of a centralized data inventory catalog. Independently develop standard operating procedures (SOPs) for data access, sharing, and governance. Manage and implement version control and documentation practices to ensurereproducibility. Collaborate with institutional IT and compliance offices to ensure regulatory adherence. Work closely with clinical research coordinators, biostatisticians, and collaboratinginstitutions .5% - Bioinformatics and biostatistical analysis of multi-Omics datasets:Lead the development and implementation of standardized data ingestion and QC pipelinesfor the longitudinal cohort study. This includes the automated workflows for preprocessing and quality control of: - Longitudinal clinical data - Neuroimaging data - Biospecimen-linked datasets - Genomic and multi-omics data. Provide subject matter expertise on statistical modeling, machine learning, and data miningprojects. Facilitate integration of cohort data with external collaborative datasets. Provide analytic consultation for investigators developing grants and manuscripts. Work closely with clinical research coordinators, biostatisticians, and collaboratinginstitutions. Harmonize multi-site datasets to ensure consistency and interoperability. Provide subject matter expertise on data sharing initiatives and preparation of datasets forgrant submissions and publications .0% - Training others in the lab and center for utilizing biocomputational pipelines:Independently provide data mining tutorial pipeline establishment for trainees to learn anduse. Lead routine bimonthly workshops for trainees to learn data processing and analysis. Lead biweekly meetings to monitor trainees’ progress. Lead the development and implementation of a documented data governance and SOPframework .% - Manuscript preparation and submission:Generate analytic reports, dashboards, and visualizations to support leadership decision-making. Contribute to NIH and foundation grant proposals, including sections on data managementand analytic plans. Support preparation of manuscripts and conference presentations. Independently create integrated analytic dataset supporting a bioinformatics project or grant application. Qualifications Required Qualifications:An Advanced Degree with substantial research and publication record. Extensive bioinformatics and biostatistical experience including NGS data analysis, including RNA-seq, sc. RNA-seq, Spatial Transcriptomics (10 x. Visium, Nanostring Geo. Mx), Ch. IP–seq, ATAC-seq, Cut&Run/ Tag, sc. ATAC-seq, Infinium Methylation. EPIC Array, WGBS, MS/ MS, Cy. TOF, Hi-C, WGS/ WES dataset, Proteomics, Lipidomics/ Metabolomics; Strong background in R and Python programming, and statistical analysis. Data management responsibilities including building center data storage platform, data process, format and standardization, data upload, data warehouse maintenance and distribution. Bioinformatics training: data mining tutorial pipelines, and routine workshops for trainees to learn data processing and analysis. Preferred Qualifications: Knowledgeable about wet lab experiments; Linux and cluster computing environment; multi-project management. About the Department To learn more about the Department of Neurology, please visit Pay and Benefits Pay Range: $90,930.38 annually - $110,000 annually; depending on education/qualifications/experience. Time Appointment: 100% Appointment. Position Type: Faculty and P&A Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes:Competitive wages, paid holidays, and generous time off. Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program. Low-cost medical, dental, and pharmacy plans. Healthcare and dependent care flexible spending accounts. University HSA contributions. Disability and employer-paid life insurance. Employee wellbeing program. Excellent retirement plans with employer contribution. Public Service Loan Forgiveness (PSLF) opportunity. Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost. Employee Transit Pass with free or reduced rates in the Twin Cities metro area