Top Healthtech Data Science Jobs in New York City, NY
As a Principal Marketing Data Scientist at Zocdoc, you will analyze performance data, forecast marketing initiatives, and collaborate with marketing teams to recommend strategy shifts. You will build scalable solutions using Python and/or R, design studies to measure marketing impact, and partner with data engineering to optimize data usage, all aimed at improving patient experiences.
The Senior Data Scientist will drive the Customer Experience team's data initiatives by building data products that convey Spring Health's impact. Responsibilities include refining the product roadmap with AI/ML insights, analyzing member mental health data, and providing actionable insights to improve client engagement and wellbeing.
The Safety Data Management Specialist will monitor drug and medical device surveillance, process adverse reports, and ensure regulatory compliance for safety reporting. Responsibilities include case processing, data verification, preparing reports, and liaising with stakeholders to maintain safety standards and regulatory adherence.
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The Data Science Manager will develop care navigation algorithms and analytics while managing a team of data scientists and analysts. Responsibilities include overseeing the data science guild and ensuring success in a dynamic startup environment.
As a Crystal Structure Prediction Scientist, you will develop novel methods for predicting small molecule crystal structures to aid in drug discovery and materials design. Your work will involve designing computational experiments, analyzing data, and collaborating with a team of scientists and engineers.
The Senior Director of Data Science will lead the data science team, develop strategies to leverage data for drug development, ensure data quality and integrity, drive predictive modeling, and collaborate with cross-functional teams to advance drug development processes.
As an Applied AI Scientist at ZS, you will develop advanced algorithms for complex problems, execute statistical techniques on large datasets, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
The Outcomes Research Data Scientist will lead analyses of clinical data for real-world evidence studies, interpret findings, communicate results to partners, collaborate with various internal teams, and ensure compliance with regulations in the healthcare domain.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
As a Data Engineer, you will own the architecture, management, and deployment of the Arlo underwriting API, collaborating closely with actuaries to refine models and ideate strategies. Your responsibilities include setting up data pipelines, implementing reporting tools, evaluating new data sources, and deploying models into production.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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