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econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good communication skills in English. Required Application Materials: CV (no cover
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is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow
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populations such as RASopathies, autism spectrum disorder, attention-deficit/hyperactivity disorder, or other genetic syndromes Strong research methodology and statistical analysis skills Excellent written and
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Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference Required Application Materials: CV 1-page cover letter describing research background and
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translational oncology, and a vibrant research community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical
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for individual-, longitudinal-, and group-level inference Applying advanced statistical models for longitudinal data (e.g., mixed-effects models, missing-data handling) Integrating imaging outputs with behavioral
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strong background in applied statistics, but lack experience addressing policy-relevant questions, analyzing large datasets, or working in applied settings. Applicants from non-traditional backgrounds
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familiarity with precision medicine approaches is preferred. Familiarity with psychological constructs and/or experience with human subject data is preferred. Profound experience in statistical and
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analysis and statistical skills to quantify community wellbeing Knowledge of urban studies and preferably with a background in behavioral sciences and/or environmental psychology Proficiency in programming