Senior Data Scientist – Healthcare Predictive Analytics

NYU Langone Health; New York (NY); On-site; USD 122,000 - 162,000; Full time

Benefits offered by this job

Comprehensive benefits

Wellness program

Generous time-off

Employee resources groups

Job summary

NYU Langone Health seeks a Senior Data Scientist/Engineer to join the Predictive Analytics Unit onsite. You will lead data projects, design ML data solutions, and work with clinicians to develop impactful healthcare analytics.

The role requires a strong ML background, experience with large clinical datasets, and ability to communicate results to varied audiences within NYU Langone Health.

Qualifications

• Master's degree in a quantitative discipline.
• 5-7 years of experience in machine learning/data science.
• Proficiency in Python and R and ML tools such as scikit-learn.
• Knowledge of predictive modeling and ML concepts, including deployment to large datasets.
• Familiarity with big data frameworks and database systems.

Responsibilities

• Lead data-oriented projects of high importance, including development, deployment, and evaluation.
• Design and build data solutions using ML/informatics methods and deploy within NYULMC ecosystem.
• Work with large, complex clinical datasets to solve healthcare problems.
• Build workflows to collect, store, clean, and process data; verify data integrity.
• Manage associate data scientists, engineers, and clinicians for testing and deployment of models.
• Collaborate with NYULMC community and contribute to predictive modeling reports.
• Prepare and present results to diverse audiences, including ROI implications.

Skills

Python

R

scikit-learn

Education

Master's degree in Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar

PhD in quantitative field + 2 years experience

Tools

Hadoop/Spark

MongoDB

SQL/NoSQL

Job description

NYU Langone Health seeks a Senior Data Scientist/Engineer to join the Predictive Analytics Unit onsite. You will lead data projects, design ML data solutions, and work with clinicians to develop impactful healthcare analytics.

The role requires a strong ML background, experience with large clinical datasets, and ability to communicate results to varied audiences within NYU Langone Health.