Top Healthtech Data Science Jobs

Develop ML methods for biological data analysis, collaborate with scientists, integrate diverse data modalities, and drive innovations in disease modeling.

Lead a team of analysts to develop and apply labeling rubrics and ground-truth conversational data for AI model development. Own throughput, quality, capacity planning, secondary review, and client-facing SME responsibilities. Partner with Data Science, Prompt Engineering, Product, and CS to align methodology, drive continuous improvement, and deliver labeling and insights initiatives on schedule.

Build and evolve AI systems to enhance investment insights, integrating models and optimizing outputs for professional investors in a fast-paced environment.

As a Data Scientist, you'll lead high-stakes analytical work, creating predictive models and defining frameworks for experimentation and evaluation within a healthcare tech startup.

As a Senior AI/Data Science Engineer, you'll develop algorithms and collaborate with engineering teams to create innovative product features, ensuring robust deployment and optimizing performance for healthcare applications.

Design and run advanced statistical and machine learning analyses on large healthcare datasets to evaluate programs, inform policy, and produce visualizations and reports. Collaborate with clinical, policy, and IT teams, ensure data quality and privacy compliance, mentor junior analysts, and translate findings into actionable recommendations to improve care delivery.

As a Trainee Data Scientist, you'll assist in data cleaning, model development, exploratory analysis, and presenting insights to stakeholders.

Lead advanced forecasting and data science for Finance: build and operationalize statistical and ML forecasting models, integrate outputs into Anaplan, establish model governance and validation, create adoption templates and training, partner with FP&A and Data/IT, and stand up an Advanced Forecasting Center of Excellence.

The Data Scientist II will oversee data management, design study protocols, train staff, lead report development, and manage client activities using project frameworks.

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