677 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Harvard University
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with team members to analyze and resolve data and pay discrepancies. Proactively monitors and resolves issues with employee pay errors including Time & Labor and Absence Management as well as data
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. Please document your success in the classroom and your organizational skills. Special Instructions: Please submit the materials listed below through mathjobs.org: https://www.mathjobs.org/jobs/27618
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Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, Criminal
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benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
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, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description
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Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu). Candidates are encouraged to apply by March 1, 2026; applications will be reviewed until the position
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. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software
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systems. Working knowledge of Russian and knowledge of the broader Eurasian region, highly desired. Additional Information Appointment End Date: 12/31/27 Standard Hours/Schedule: 28 hours per week
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contribute to overall lab operations and a collaborative environment. Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined
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trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing