About the Role
Design and deploy AI-powered tools that integrate into clinical workflows, ensuring accuracy, usability, and alignment with medical best practices.
Responsibilities
- Develop machine learning models tailored to clinical use cases
- Collaborate with clinicians to define product requirements
- Translate medical guidelines into algorithmic logic
- Optimize AI systems for real-time performance in healthcare environments
- Ensure outputs are interpretable and clinically actionable
- Work closely with software engineers to integrate models into production applications
- Validate model performance using real-world patient data
- Maintain compliance with healthcare data privacy standards
- Iterate on feedback from medical professionals
- Conduct rigorous testing to minimize diagnostic inaccuracies
- Support regulatory documentation for AI-based medical tools
- Monitor deployed models for performance drift
- Contribute to ethical review processes for AI in medicine
- Document technical specifications and decision logic
- Participate in user testing with healthcare providers
- Refine user interfaces for clinical usability
- Align development with clinical safety protocols
- Integrate external medical knowledge sources into models
- Assess new AI methods for clinical applicability
- Collaborate on interdisciplinary research initiatives
- Drive improvements based on clinical outcomes data
- Balance innovation with risk mitigation in sensitive contexts
- Advocate for patient-centered design principles
- Stay current with advancements in clinical AI
- Communicate technical concepts to non-technical stakeholders
Nice to Have
- Advanced degree in a relevant technical or medical field
- Direct experience in a healthcare technology company
- Prior work on FDA-cleared digital health products
- Clinical training or certification
- Publications in biomedical informatics or AI in medicine
- Experience with natural language processing in clinical text
- Knowledge of clinical trial design
- Leadership in open-source health AI projects
- Experience mentoring junior engineers
- Track record of successful product launches
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid with flexibility for remote collaboration
Team
Cross-functional team focused on healthcare innovation
Our Mission
- Build AI tools that support clinicians in making better, faster decisions at the point of care
- Focus on real-world impact by improving diagnostic accuracy and reducing clinician burnout
Technology Stack
- Python, PyTorch, TensorFlow, FastAPI
- AWS and Kubernetes for scalable deployment
- FHIR for healthcare data interoperability
- React-based frontends for clinician-facing interfaces
Ethics & Compliance
- All AI models undergo clinical validation
- Regular review by independent medical advisors
- Transparent documentation of model limitations and training data
Available for qualified candidates
