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likely. The postdoc will provide resources, and assist in the development of deliverables for the projects. This position will be expected to participate in project leadership and management, writing
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, including state-level health and social service data. • Strong quantitative analytic skills and experience using R, STATA, SAS, Python, or similar analytic software. • Experience with data linkage, data
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, or other real-world data sources. Proficiency in R, SAS, Python, Stata, or similar analytic software. Demonstrated experience contributing to manuscripts, scientific abstracts, reports, or grant applications
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molecular profiling platforms. Experience with data analysis software such as GraphPad Prism, R, Python, or similar platforms. Other Requirements: This position is onsite. The work is performed on-site
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collaboratively in an interdisciplinary team • Capacity to manage projects and timelines independently • Comfort giving and receiving feedback in a fast-moving, idea-rich environment Timeline: The postdoc can begin
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contribute to the creation of scalable, reproducible software for epidemic simulation and analysis. Responsibilities include model implementation, workflow automation, software documentation, performance
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to development of open-source software. Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership. Minimum Qualifications: The candidate should hold a Ph.D. (or equivalent
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issued to sponsor the individual. The term of the appointment is limited (see Section 5of the Postdoc Policy for length of appointment).The appointment involves substantially full-time research
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guide study implementation Code and analyze qualitative data using standard qualitative data management software Transfer, code, manage, and analyze large quantitative data sets Document steps taken in
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software. Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership. Minimum Qualifications: The candidate should hold a PhD (or equivalent) in Computer Science