Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
-
programming languages (R, SQL, or Python) is required. Additional Qualifications Master’s degree preferred. Some prior research experience in public health and medicine preferred. Strong interpersonal skills
-
, 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
-
/ORDS. Scripting: Python and/or Shell scripting experience a plus. XML: Schema development and validation. UI: Hands-on experience with JSF/PrimeFaces within enterprise applications. Application Servers
-
under pressure, accurately assess problems, and develop solutions; • K-12 sector or university research experience; and • Stan or Python programming a plus Additional Information Appointment End
-
experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be
-
. Processes, organizes and summarizes data, reporting results using a variety of scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and
-
. Applicants must be legally eligible to work in the United States. We are not able to provide visa sponsorship for this position. Basic Qualifications Proficiency in coding (Python) and deep learning frameworks