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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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Qualifications: Exceptional programming and analytical skills (including R, Python, and SAS or Stata Demonstrated expertise in analysis of claims data Clear scientific writing and communication, an ability to work
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cellular neurophysiology or related fields Experience in patch clamp-based electrophysiological recording from native neurons Expertise in programming with Python and R Experience with programming
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. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as superb programming (Python, shell scripting) and
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on performance. Please take a look at the type of work Prof. Stantcheva does on her website: https://www.stefanie-stantcheva.com/ as well as on her Social Economics Lab website http://socialeconomicslab.org
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, biostatistics, computer science or a related quantitative field Additional Qualifications: · Advanced programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims
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coding abilities, including skills in statistical analysis (e.g., R), computational methods (e.g., NLP methods), programming (e.g., Python), online research tools (e.g., Qualtrics) Strong interpersonal
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quantitative background, with demonstrated ability to program in one or more scientific programming languages, e.g. R, Python, C++, etc. Additional Qualifications: Preferred Qualifications Knowledge of HIV
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computer programming experience in any language (R or Python preferred) is required Fluency in Spanish is required Additional Qualifications and Skills: Bachelor's Degree in Environmental Science, comparable