Get the job you really want.
Top Healthtech Data & Analytics Jobs
The Applied AI Scientist will develop advanced algorithms for large datasets, execute statistical analyses, evaluate emerging technologies, and contribute to thought leadership in analytics at ZS.
As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, and collaborate with global teams to deliver projects. You'll also research and evaluate new technologies and maintain high-quality deliverables.
The Senior Data Scientist will lead analysis and provide insights related to Babylist's fulfillment and operations. Responsibilities include visualizing supply chain performance, improving processes, and collaborating with various teams to drive product decisions informed by data analysis.
Senior Data Engineer (Data Engineer III) role at Chewy's Data Analytics team. Responsible for building and maintaining data pipelines, supporting the Speech Analytics platform, driving strategy for VOC data democratization, and developing advanced data products to meet business needs.
Featured Jobs
Featured
Featured
The Go-to-Market Business Systems Analyst role involves gathering and documenting system requirements, designing technical solutions, and managing stakeholder communication for Go-to-Market systems. Applicants need a strong Salesforce background and experience in user acceptance testing, project leadership, and integrating GTM applications into business processes.
The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.
The R&D Head for Digital, Data, and Technology at Takeda leads the integration of AI, data, and digital technologies across R&D. This role focuses on enhancing the speed and quality of discovering, developing, and delivering innovative medicines, and manages the digital transformation efforts company-wide.
The Senior Data Analyst will work with the Care Giver Experience team to define metrics and KPIs, develop reporting infrastructure, dashboards, and data visualizations, and ensure accurate data access and reporting for informed decision-making.
As a Senior Data Analyst at Spring Health, you will collaborate with the Member Experience team to create and enhance reporting infrastructure, develop dashboards that highlight key metrics, and ensure effective data usage across teams. Your goal is to facilitate data-driven decision-making to improve mental health services accessibility for users.
The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.
As a Lead Data Operations Analyst, you will consolidate data across the LeadsRx platform to provide business performance insights, design an integrated reporting solution, and collaborate with business and technical teams to innovate on the platform. You will also empower stakeholders with accessible data and generate performance metrics.
The Sr. Growth Analytics Analyst at GoodRx will support the marketing team in analytics for strategic decision-making. Responsibilities include building dashboards, deriving insights from data, and developing measurement models while collaborating with marketing, product, and data teams for growth optimization.
The Late-Stage Clinical Scientist will perform clinical data review, ensuring data integrity and quality for oncology clinical trials. They will collaborate with clinical and medical colleagues to support trial execution, review safety and efficacy data, and analyze drug safety profiles while adhering to regulations and optimizing clinical development procedures.
The Clinical Scientist will perform clinical data reviews to ensure integrity and quality of clinical trials, primarily in the Late-Stage Oncology sector. They will maintain scientific knowledge, analyze emerging safety profiles of drugs, and collaborate with clinical and medical teams to support clinical trial execution.
The Clinical Scientist will perform clinical data reviews to ensure data integrity and quality for late-stage oncology trials. This role requires collaboration with clinical and medical teams to oversee safety data and comply with regulatory standards, while continuously seeking improvements in clinical procedures.
All Filters
No Results
No Results
