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applicant will join over 60 statisticians, epidemiologists, and research staff collaborating on the design, monitoring, analysis, and reporting of Phase I through Phase IV clinical trials, diagnostic studies
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experimental methods to social scientific questions – including aptitude in working with large-scale datasets and/or text-analysis methods. Most of all, we value curiosity and passion about topics studied in
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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point during academic career. Experience handling rodents in a laboratory setting. Computer experience relevant to analysis and documentation of experimental results is essential (Word, Excel, and other
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tissue culture systems, imaging, behavioral analysis, and immunological assays. This position is primarily focused on laboratory management, with the opportunity to participate in an independent scientific
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Qualifications and Skills: Bachelor's degree Experience in computer programming, Excel, Access, basic data analysis Experience working with human samples and DNA/RNA Extraction Experience with Excel, Redcap
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research projects across the research life cycle, including the establishment of research questions, design of the study, grant writing, collection of data, analysis, and writing of reports and academic
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Staff Services office. Candidates should have some familiarity with some or all of the following: · Causal analysis and experimental design: difference-in-differences and fixed effects models
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of Microsoft Office Suite, advanced Excel skills Working knowledge of financial principles, budgeting, financial analysis Thorough knowledge of research administration for federal, private, and foundation awards
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building tooling for runtime analysis, profiling, and performance diagnostics Experience with secure or privacy-constrained data environments (e.g., HIPAA-aware engineering practices) Experience working in