Postdoctoral Fellow: AI & Causal Inference for Health Data

Mount Sinai Medical Center; New York (NY); On-site; USD 72,500 - 80,000; Full time

Job summary

Mount Sinai Medical Center seeks a Postdoctoral Fellow to tackle artificial intelligence and health data science. This full-time, on-site role in New York involves designing studies, developing algorithms, and analyzing complex datasets. Ideal candidates should have a PhD in a relevant field, strong skills in machine learning, and proficiency in R/Python. The position includes opportunities for collaboration and mentorship, along with a competitive salary range of $72,500 - $80,000 annually.

Qualifications

• PhD in statistics, biostatistics, computer science, data science, bioinformatics, or a related quantitative field.
• Strong background in ML and interest or experience in causal inference.
• Proficiency in R and/or Python with experience handling large datasets.

Responsibilities

• Design studies and develop novel algorithms.
• Analyze large and complex datasets.
• Collaborate with clinicians and interdisciplinary teams.

Skills

Machine Learning

Causal Inference

Statistical Modeling

R and/or Python

Communication Skills

Education

PhD in a quantitative field

Job description

Mount Sinai Medical Center seeks a Postdoctoral Fellow to tackle artificial intelligence and health data science. This full-time, on-site role in New York involves designing studies, developing algorithms, and analyzing complex datasets. Ideal candidates should have a PhD in a relevant field, strong skills in machine learning, and proficiency in R/Python. The position includes opportunities for collaboration and mentorship, along with a competitive salary range of $72,500 - $80,000 annually.