Top Healthtech Jobs in Boston, MA

The Hardware Test Engineer will oversee testing activities, create test plans, analyze data, validate designs, and collaborate cross-functionally to ensure product quality.

The Data Scientist III will develop machine learning infrastructures, optimize algorithms, communicate insights, and manage the data science lifecycle.

The Licensed Practical Nurse provides direct patient care in pediatric urgent care, administering medications, monitoring patients, and documenting care while adhering to policies.

As a Specialty Navigator II, you will review referral requests, coordinate care, explain insurance options, and support patients in navigating healthcare services.

This Radiologist role involves general radiology practice with options for specialized focus, interpreting images, performing procedures, and collaborating with colleagues.

Design and implement backend solutions that support hardware development at WHOOP, creating tools for hardware integration and managing data pipelines.

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

The Engagement Manager leads managed services for healthcare clients using InterSystems technologies, ensuring successful service delivery and client experience, managing relationships with executives, and overseeing operational performance.

The Sales Development Representative will identify, qualify, and develop new leads in the pharma and biotech industries and assist the sales team in meeting quarterly and annual goals.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

The Enterprise Account Executive is responsible for driving revenue growth in the MedTech sector by securing new business, managing sales cycles, and fostering client relationships.

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.