Top Healthtech Data Science Jobs

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

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.

Seeking a Principal Data Scientist to guide AI innovation and develop responsible, interpretable AI systems to improve healthcare outcomes. Lead collaboration with teams to integrate AI into business systems, ensuring compliance and effectiveness in healthcare applications.

The Senior Data Scientist analyzes complex data to develop analytic solutions, influences business strategy, and makes decisions on technical approaches.

The Principal Data Scientist will enhance payment accuracy in claims and payment integrity, build robust data pipelines, and collaborate across teams to drive data-driven solutions.

As an AI Analyst, bridge knowledge of healthcare claims and finance with AI initiatives, supporting model translation and analysis of payment integrity and revenue optimization.

The Data Scientist will analyze healthcare data, build analytics infrastructure, develop insights, and enable reporting to support decision-making across the organization.

The Senior Manager oversees the Data Science team, designing algorithms to improve claim payment accuracy and mitigate fraud within CareSource health plans. Responsibilities include managing data science functions, mentoring team members, and collaborating on innovative analytic solutions to enhance operational efficiency.

The Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.