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possess the following qualifications: Demonstrated technical knowledge of commonly used data science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R
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to bedside. To do this, the Weil Institute brings together integrative teams of world-class U-M scientists, clinicians, and engineers with industry partners and funding sources to develop and deploy cutting
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. Demonstrated fluency in R, Python, or Stata programming languages and documentation (through prior research) of strong quantitative skills, as evidenced by application material. Ability to work both
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prototyping tools, Python, MATLAB, and R Perform other duties as assigned. Working Conditions: Works in a laboratory environment with potential exposure to biological and chemical hazards. Must be physically
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). Ability to work both independently and collaboratively within a diverse team. Desired Qualifications* Experience with data analysis tools or programming languages (e.g., Python, R, SQL). Familiarity with
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their data needs and objectives. • Perform data analysis and generate reports as needed. • Stay current with data analysis tools and techniques, particularly in R, Python, and SAS. • Helping prepare materials
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. Responsibilities Roles and Responsibilities: Project Management (45%) Coordinate technical requirements across stakeholders including U of U Health IT, ARUP IT, Compliance, biorepositories, and research teams Assist
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, Python, R, SQL, AWS/Snowflake, and Power BI Manage and lead high-performance teams consisting of technology professionals responsible for Level 2 and Level 3 technical support to deliver required outcomes
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environment. Advance departmental BI capabilities contributing to training and establishing best practices. Data Analysis: Utilize languages like SQL, SAS or python, as well as BI tools like Tableau or Power
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maintains local and national data repositories. Generates routine reports, statistical summaries, and figures using SAS, R, or Python. Optional: contributes to wet lab tasks (e.g., tissue sectioning, IHC