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to the skillset of the individual. Candidates with PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate
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, transdiagnostic cohort Integrating theory-driven models with data-driven analytic approaches to improve prediction of symptom trajectories Contributing to study-wide discussions of analytic strategy, model
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, PhD, ScD, DrPH, MPH or MSc (required) Proven analytical experience in population genetics, computational biology or other quantitative areas that provide analytical and computational experience that can
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MD, PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in
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. This position is ideal for candidates seeking to advance their technical (wet and/or dry lab techniques) and independent research skills prior to graduate school (PhD, MD/PhD or MD). Training/Responsibilities
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goals Unofficial academic transcripts (if available) Contact information for at least two references Application materials should be submitted electronically to: Choukri Ben Mamoun, PhD John F. Enders
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to: increase HIV testing in priority populations using data-driven “precision public health” approaches, reduce time to linkage to care, and reduce time to viral suppression via rapid ART initiation in community
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implementation science frameworks to guide selection of measures, analytic plans, and interpretation of implementation determinants and outcomes. • Support or lead “big data” analyses
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and quality measurement Secondary data analysis using national datasets The experience is intended to prepare candidates for graduate-level training (e.g., MD, PhD, MPH) or careers in clinical research
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. Required Skills and Experience: Ability to work closely with data scientists and analysts to expand the GITB and clinical registry Strong interpersonal, analytical, and project management skills Ability