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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 08-Oct-25 Location: Boston, Massachusetts Type: Tenure-track Categories: Academic/Faculty Business/Finance
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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data Clear scientific writing and communication; a track record of publications Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR
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data Clear scientific writing and communication; a track record of publications Experience with causal inference Bonus: experience with explainable ML, optimization/decision strategies, or work with EHR
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recruit and supporting the academic career development of postdoctoral fellows. As part of this program MCHB and HSPH are committed to establish a tenure track position in MCH during the 5-year funding
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. As part of this program MCHB and HSPH are committed to establish a tenure track position in MCH during the 5-year funding period. Possible mentors include Drs. David Williams and Margaret McConnell
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recruit and supporting the academic career development of postdoctoral fellows. As part of this program MCHB and HSPH are committed to establish a tenure track position in MCH during the 5-year funding
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scRNASeq and spatial transcriptomics datasets, including probing gene signature expression and comparing expression between groups using correct statistical models (e.g., Linear Mixed Model, Bayesian
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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knowledge of quantitative methods including causal inference and econometric analyses. Additional Qualifications Master’s degree in statistics, economics, or related quantitative field preferred. Experience