Top Healthtech Jobs in Los Angeles, CA

The Underwriting Consultant analyzes health benefit plans, assesses risks, develops solutions, and prepares financial modeling, budgeting, and pricing recommendations.

The Primary Care Physician will provide outpatient care including consultations, annual visits, and follow-ups, supported by a medical assistant.

The Director of Influencer Marketing & Social Media will lead creator strategies, manage social teams, drive community engagement, and establish measurable ROI frameworks within Babylist's influencer marketing efforts.

As a QA Engineer at Axle Health, you will define QA strategies, test web and mobile applications, develop automated tests, and ensure product quality while collaborating with cross-functional teams.

The Director leads cross-functional oncology initiatives, driving strategy execution and decision-making across research and development teams to enhance Pfizer's oncology goals.

As the Principal Product Manager for Recurring, you will own the product vision and strategy, lead experiments, optimize user experiences, collaborate cross-functionally, and communicate effectively with senior stakeholders to drive growth in subscription management areas.

The Affiliate Sr. Marketing Manager will manage affiliate partnerships, drive lead generation for legal brands, and optimize campaign performance.

The Account Manager will manage employer and business partnerships, ensuring client satisfaction through effective communication and coordination across teams, overseeing account activities, and optimizing client outcomes.

The Clinical Pharmacy Manager will develop Sprinter Health's pharmacy program, provide direct patient care, and ensure compliance across multiple states. Responsibilities include strategy development, patient medication management, and collaboration with clinical teams.

The Account Executive will manage sales across mid-size and large school districts, build relationships, and achieve revenue goals, focusing on K-12 education solutions.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.