Job Description

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 with
institutional, 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 ensure
reproducibility.
Collaborate with institutional IT and compliance offices to ensure regulatory adherence.
Work closely with clinical research coordinators, biostatisticians, and collaborating
institutions.
25% - Bioinformatics and biostatistical analysis of multi-Omics datasets:

Lead the development and implementation of standardized data ingestion and QC pipelines
for 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 mining
projects.
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 collaborating
institutions.
Harmonize multi-site datasets to ensure consistency and interoperability.
Provide subject matter expertise on data sharing initiatives and preparation of datasets for
grant submissions and publications.
10% - Training others in the lab and center for utilizing biocomputational pipelines:

Independently provide data mining tutorial pipeline establishment for trainees to learn and
use.
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 SOP
framework.
5% - 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 management
and 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, scRNA-seq, Spatial Transcriptomics (10xVisium, Nanostring GeoMx), ChIP–seq, ATAC-seq, Cut&Run/Tag, scATAC-seq, Infinium MethylationEPIC Array, WGBS, MS/MS, CyTOF, 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 https://med.umn.edu/neurology.

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
How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-8647.

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