
Phare Health
About Us
Our mission is to make healthcare reimbursement fair and transparent, so providers can spend more time caring for patients and less time haggling over costs. We specifically focus on the most complex AI challenges that require novel R&D, building products that are fit for purpose in healthcare. We are backed by some of the top healthcare investors and growing fast. Join us!
The Role
You’ll design and build large-scale data pipelines specifically tailored for healthcare environments. This will involve close collaboration with hospital IT teams to build EHR integrations, as well as core platform engineering to deploy ML-driven products at scale with the highest security standards.Key Responsibilities
EHR Integrations: Integrate with various EHR platforms using FHIR, HL7 and other data exchange standards.
Data Pipelines: Build and maintain robust ETL pipelines using Python, Airflow (or similar) to handle large volumes of healthcare data.
Infrastructure & Deployment: Leverage cloud services (AWS experience desirable) and Infrastructure as Code (Terraform, Docker) to deploy and manage ML pipelines and front-end interfaces.
Security & Compliance: Implement HIPAA-compliant architectures with robust encryption, role-based access controls, and secure coding practices.
Leadership & Mentorship: Lead technical discussions, share best practices, and coach junior engineers.
About You
Technical Expertise
5+ years of professional experience in full-stack development (or equivalent) with fluency in Python
Experience with AWS or other cloud platforms and Infrastructure as Code frameworks (Terraform, Docker)
Big bonus: Experience with EHR integrations including HL7/FHIR standards
Startup Mindset
Comfortable with ambiguity and rapid iteration.
Driven to take ownership of projects and deliver impactful outcomes.
Benefits
Competitive compensation: Top-of-market salary plus equity.
Flexible PTO: Generous vacation policy and remote-friendly culture.
Team culture: Regular team-building events, a collaborative atmosphere, and mission-driven work.
Remote options
We are ideally seeking candidates based in our existing hubs of NYC or London, willing to come into the office at least 3 days per week. However, we’re willing to consider remote options for exceptional candidates.
Hiring Process
Initial application.
Intro call: Discuss your background, career goals, and our mission.
2 x technical interviews: A programming or system design exercise focused on real-world data challenges.
Referees: We ask for 2 referees who can speak to your professional/technical work
Culture interview: Ways of working, and a chance to ask questions
Offer