Top Healthtech Data & Analytics Jobs
The Associate Data Analyst will collaborate with business partners to gather requirements and develop reporting and visualizations using SQL, Excel, and Python. Responsibilities include adhering to data standards, managing incidents, and following Data Governance guidelines while driving quality analytical outcomes. A focus on continuous learning in analytics is essential.
The Programmer Analyst-II is responsible for developing and maintaining software scripts for healthcare data analytics, collaborating on new software applications, ensuring quality assurance, and supporting cross-departmental projects. The role involves processing client data, optimizing the computing environment, and communicating technical information to non-technical users.
As a Data Science Consultant, you will support business operations through data analysis and presentations. You'll manipulate datasets to drive analytics and collaborate with stakeholders to provide data-driven recommendations and solutions. Strong communication and collaboration skills are essential to succeed in this role.
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As a Data Scientist at Courier Health, you will drive insights and support evidence-based decision-making by collaborating with various teams to optimize the use of healthcare data and develop AI applications within our SaaS platform.
The Principal Security Analyst oversees the Information Security Program at WelbeHealth, focusing on Azure Cloud Infrastructure and DevOps. Responsibilities include security assessments, implementing security controls, and collaborating with engineering teams to address detected risks and ensure compliance with regulations.
The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.
Key role in quantifying and communicating the value of Included Health to clients, translating data into actionable insights, collaborating with teams, and developing data models and analyses.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
As a Revenue Cycle Analyst, you will analyze large datasets to identify trends and improve the revenue cycle process. You will work on denied claims, track revenue cycle performance metrics, and provide data-driven insights to enhance efficiency and reimbursement. You will also conduct ad hoc data analyses to support decision-making and process changes.
The Compensation Analyst II conducts research and analysis to ensure competitive compensation programs. They work with HR and operational partners to refine policies, administer compensation surveys, ensure compliance with pay laws, and support year-end compensation processes.
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