Top Healthtech Data Science Jobs in New York City, NY

As a Staff Data Scientist, you'll analyze and enhance search and ranking systems for mental health provider matching, collaborating with cross-functional teams to improve patient access to care.

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.

Join the Garner Health Intelligence team as a Data Scientist to enhance provider performance metrics, develop algorithms, design data pipelines, and collaborate cross-functionally to drive data-driven solutions for healthcare insights.

As a Staff Data Scientist, you will lead analytics initiatives, mentor teams, develop analytical models, and drive product strategy through data insights.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Manager, Pricing Analytics & Programming will develop pricing models, analyze sales data, provide actionable insights, and collaborate across departments to optimize commercial strategies.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

The Senior Data Scientist will leverage ML and AI to develop models for risk adjustment, conduct data analysis, collaborate with teams, and implement solutions.