Our mission is to make healthcare reimbursement transparent and fair (/phare), 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, with a team that blends AI researchers and engineers with clinicians, and payment experts. Backed by top healthcare investors including General Catalyst, we’re scaling quickly - join us!
The Role
This is a senior SWE role within a tight-knit, mission-driven team that owns the data pipes and AI engine behind our product. Expect to:
Stream hospital data at scale - build and run pipelines that pull EHR and claims data (FHIR/HL7) into our platform in real time.
Strengthen the ML stack - own feature stores, model serving, and monitoring so clinicians always get fast, trustworthy results.
Shape our cloud environment - design and operate our AWS environment. Proficient using infrastructure as code, serverless and data storage solutions
Automate for reliability - keep deployments repeatable and secure, with clear metrics, sensible alerts, and HIPAA-grade safeguards.
Grow with us - mentor peers and influence architecture today, with a clear path to steering broader engineering strategy as we scale.
Who we're looking for
4+ years designing and shipping production systems in Python, Go, or similar languages.
Deep experience with high-throughput ETL and schema design.
Mastery of AWS/GCP, Kubernetes/ECS, Terraform (or similar technologies) and CI/CD.
Proven security mindset (HIPAA, SOC2, or equivalent).
Track record of leading architecture and mentoring engineers.
Bonus Points
Hands-on with healthcare data standards (FHIR, HL7).
Real-world MLOps or model-monitoring experience.
Early-stage startup scars or triumphs.
Benefits
Competitive compensation: Top-of-market salary ( $150-220k depending on seniority) plus equity, 401(k) retirement plan with contribution match up to 3%, and HRA flexible insurance plan to meet individuals' needs.
Flexible PTO: Generous vacation policy, bonus birthday day-off, work from anywhere up to 1-month each year, and remote-friendly culture.
Team culture: Regular team-building events including twice-a-year off sites, a collaborative atmosphere, and mission-driven work.
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
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What We Do
Phare Health is bringing hospital administration and revenue cycle management into the large language model era. The firm develops AI technology for the back office to address the systemic challenges of healthcare finance and, by doing so, lead the industry in improving outcomes for hospitals, clinicians, and patients. Phare Health is backed by some of the best healthcare systems and investors in the world, with a founding team from DeepMind, Google and NYU.
