-
administrative data. Experience with large language models, natural language processing, medical text mining, or clinical AI. Strong programming skills in Python and/or R. Familiarity with medical terminology
-
analysis. Proficiency in statistical programming and data management using software such as SAS, R, or Stata, with strong skills in data manipulation, cleaning, and analysis. Evidence of scholarly
-
quantitative discipline. In addition, the successful candidate will demonstrate: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience
Searches related to parallel programming
Enter an email to receive alerts for parallel-programming positions