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planning for future needs, managing day-to-day priorities, and delivering major initiatives, including Education Cloud for student recruitment and advising. The Program Manager will supervise Salesforce
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files and GWAS summary-statistic files. Ability to work with large-scale genomic datasets in cloud-computing or high-performance computing environments, including efficient management and analysis
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personalized, data-informed audience journeys using Salesforce Marketing Cloud. In partnership with colleagues across the division, you will also contribute to special projects, cross-functional workgroups, and
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-analysis, and fine-mapping of genome-wide genetic data. Develop, maintain, and improve bioinformatics pipelines for high-throughput genomic analyses using high-performance computing and cloud-based
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biology, vascular biology, or cardiometabolic disease Experience with cloud or HPC computing environments, including Slurm-based job scheduling Familiarity with SQL or PostgreSQL for data querying and
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Qualifications* Master's degree in statistics, biostatistics, or related field. Three or more years of experience using statistical software for database management and statistical analysis. Experience with cloud
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team and one or more academic program?s faculty and staff Use provided systems to track students through recruitment, application and yield, such as: Salesforce CRM, Marketing Cloud, Wolverine Access
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care professionals. Our goal is to leverage IT to its fullest to improve data rigor for research and ultimately better health care outcomes. In 2026, we began migrating the ROW from on-premises to cloud
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, dosimetrists, radiation therapists, clinical informatics specialists, enterprise IT teams, and commercial system vendors. Prior healthcare or radiation oncology experience is welcome but not required. We
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analytical pipelines Implement reproducible computational methods using workflow management systems such as Nextflow, Snakemake, or WDL Support analyses on high-performance computing and cloud-based