Data Scientist with Medical AI Expertise
7 days ago
We are seeking a seasoned Data Scientist to join our team as an AI Engineer, driving innovation in medical data infrastructure.
As a key member of our technical team, you will be responsible for developing and deploying cutting-edge AI solutions to domain-specific problems, working closely with our customers to understand their needs and deliver high-quality products.
The ideal candidate will have 3+ years of experience in full-stack engineering, with a strong background in machine learning and deep learning. You will be confident in your ability to build scalable systems across the full stack and deploy full-stack AI solutions to domain-specific problems.
Responsibilities- Design and develop advanced AI models to extract structured clinical concepts from unstructured medical documents
- Collaborate with cross-functional teams to integrate AI solutions into our open-source platform
- Develop and maintain high-quality code, ensuring accuracy, reliability, and performance of our medical data delivery
- Analyze customer needs and work backwards to design innovative solutions
- Stay up-to-date with the latest advancements in AI/ML and apply them to improve our medical data ingestion engine
- 3+ years of experience in full-stack engineering
- Strong background in machine learning and deep learning
- Confident in ability to deploy full-stack AI solutions to domain-specific problems
- Location: San Francisco or Bay Area (or willing to relocate)
- Healthcare experience not required but desirable if familiar with FHIR, HIE, EHR/EMR, NPI, TEFCA
- Competitive equity + compensation package ($160,000 - $200,000 per year)
- Full family Platinum health insurance, dental, and vision coverage
- 401(k) retirement plan + matching
- Flexible work from home or in-office
- Quarterly company offsites with the team
- MacBook provided by us
- Unlimited PTO
We use Node.js / Express / React, TS / JS / Bash / HTML / CSS, PostgreSQL / DynamoDB, AWS / CDK / Docker, VSCode / Git / MacOS, and HAPI FHIR in our current tech stack.
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