Role Description We are looking for a highly analytical and research-driven individual with a strong background in Computational Materials to contribute to advanced AI evaluation initiatives. In this role, you will design and solve research-grade quantitative problems, supporting the development and evaluation of next-generation AI systems. You’ll work at the intersection of scientific computing, mathematical modeling, and AI reasoning, contributing to high-impact projects with leading AI organizations. Responsibilities - Quantitative Problem Design and Solutioning: - Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/programming, using Python. - Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels. - Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path. - Quality Assurance & Collaboration: - Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. - Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly. Commitments Required - 8 hours per day with an overlap of 4 hours with PST. Employment Type - Contractor assignment (no medical/paid leave). Duration of Contract - 4 weeks. Location - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam. Selection Process - Home Assignment. Qualifications - PhD or PhD Candidate in Computational Materials, Semiconductor materials, Molecular modeling, or similar. - At least one peer-reviewed publication in a relevant domain. - Proficiency in Python for scientific computing (e.g., NumPy, SciPy, or similar). - Strong analytical thinking and problem-solving skills. - Ability to clearly document complex mathematical reasoning and solutions.

Role Description We are looking for a highly analytical and research-driven individual with a strong background in Computational Materials to contribute to advanced AI evaluation initiatives. In this role, you will design and solve research-grade quantitative problems, supporting the development and evaluation of next-generation AI systems. You’ll work at the intersection of scientific computing, mathematical modeling, and AI reasoning, contributing to high-impact projects with leading AI organizations. Responsibilities - Quantitative Problem Design and Solutioning: - Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/programming, using Python. - Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels. - Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path. - Quality Assurance & Collaboration: - Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. - Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly. Commitments Required - 8 hours per day with an overlap of 4 hours with PST. Employment Type - Contractor assignment (no medical/paid leave). Duration of Contract - 4 weeks. Location - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam. Selection Process - Home Assignment. Qualifications - PhD or PhD Candidate in Computational Materials, Semiconductor materials, Molecular modeling, or similar. - At least one peer-reviewed publication in a relevant domain. - Proficiency in Python for scientific computing (e.g., NumPy, SciPy, or similar). - Strong analytical thinking and problem-solving skills. - Ability to clearly document complex mathematical reasoning and solutions.

Role Description We are looking for a highly analytical and research-driven individual with a strong background in Computational Mathematics to contribute to advanced AI evaluation initiatives. In this role, you will design and solve research-grade quantitative problems, supporting the development and evaluation of next-generation AI systems. You’ll work at the intersection of scientific computing, mathematical modeling, and AI reasoning, contributing to high-impact projects with leading AI organizations. Responsibilities - Quantitative Problem Design and Solutioning: - Design and develop research-level or graduate-level mathematical problems involving scientific computing and programming (Python). - Define clear problem structures, including categories, tags, and difficulty levels. - Solve complex problems using rigorous mathematical and computational methods, ensuring accuracy and logical consistency. - Quality Assurance & Collaboration: - Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. - Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly. Commitments Required - 8 hours per day with an overlap of 4 hours with PST. Employment Type - Contractor assignment (no medical/paid leave). Duration of Contract - 4 weeks. Location - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Kenya, Nigeria, Turkey, Vietnam. Selection Process - Home Assignment. Qualifications - PhD or PhD Candidate in Computational Mathematics, Applied Mathematics, or related field. - Strong background in numerical linear algebra, computational mechanics, or scientific computing. - At least one peer-reviewed publication in a relevant domain. - Proficiency in Python for scientific computing (e.g., NumPy, SciPy, or similar). - Strong analytical thinking and problem-solving skills. - Ability to clearly document complex mathematical reasoning and solutions.

Bioinformatics Research Scientist - Data Manager Location: Minneapolis United States Full/Part Time Full-Time Regular/Temporary Regular Job Description: About the Job 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, 9am - 5pm 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. 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 Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. About the U of M The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.