Healthcare Data Science & ML Engineer — Multimodal EHR

NYU Langone Health; New York (NY); On-site; USD 85,000 - 127,000; Full time

Job summary

NYU Langone Health invites applications for a Data Science Analyst/Engineer at the NYU Grossman School of Medicine. This role builds the data foundation for machine learning and decision analytics, combining data engineering with analysis on EHR and registry datasets to power predictive models.

You will work with a multidisciplinary team of physicians, statisticians, data scientists, and researchers, applying advanced ML techniques, integrating imaging and omics data, and driving methodological

Qualifications

• Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar).
• 3 years of experience in machine learning/data science, or a Bachelor's degree with 5 years of relevant experience.
• Proficiency in Python or R and experience with ML libraries (e.g., scikit-learn).
• Knowledge of big data frameworks (Hadoop/MapReduce, Spark) and databases (Relational/SQL, NoSQL).
• Strong software engineering fundamentals; experience with automation, testing, virtualization and containers.
• Excellent written and oral communication skills for diverse audiences

Responsibilities

• Data engineering and curation: extract, curate, clean, harmonize, and manage large EHR and other patient registry datasets, and build reliable, reproducible data pipelines.
• Machine learning and deep learning: develop, train, and evaluate advanced machine learning and deep learning models on curated patient data.
• Multimodal integration: integrate diverse data types into multimodal models for prediction and decision analytics, with opportunities to incorporate imaging and transcriptomic datasets.
• Methodological innovation: contribute to cross-cutting methodologies aimed at improving patient care.
• Communication and collaboration: write clearly, present results effectively, and work with a multidisciplinary team of physicians, statisticians, data scientists, and researchers

Skills

Python

R

Machine Learning

Communication

Big Data

Education

Masters in quantitative field

PhD preferred

Tools

scikit-learn

SQL

MongoDB

Hadoop/Spark

Docker/Kubernetes

Job description

NYU Langone Health invites applications for a Data Science Analyst/Engineer at the NYU Grossman School of Medicine. This role builds the data foundation for machine learning and decision analytics, combining data engineering with analysis on EHR and registry datasets to power predictive models.

You will work with a multidisciplinary team of physicians, statisticians, data scientists, and researchers, applying advanced ML techniques, integrating imaging and omics data, and driving methodological