Job summary
As Clinical Team Leader in Engineering, you will bridge clinical
expertise and technical execution to ensure our AI products solve
real-world healthcare problems and meet safety and regulatory standards.
You'll guide a small cross-functional team to translate clinical
requirements into engineering specifications, design and run clinical
validation studies, prioritize feature roadmaps, and collaborate closely
with product, data science, and regulatory partners. The role suits a
mid-level professional with hands-on clinical experience and familiarity
with healthcare technology or clinical research, strong
project-management skills, and the ability to communicate clinical needs
to engineers and stakeholders. You'll thrive if you're pragmatic,
data-driven, and passionate about applying AI to improve patient
outcomes in a fast-paced, collaborative environment.
Skills / Qualifications:
- Clinical validation & study design (prospective
- retrospective
- validation cohorts)
- Cross-functional leadership & stakeholder management (engineering
- product
- clinical partners)
- Clinical safety & risk management (FMEA
- hazard analysis
- mitigation planning)
- Clinical workflow integration and EMR interoperability (FHIR/HL7)
- Ethical AI
- bias detection and mitigation in healthcare models
- Human-in-the-loop annotation and active learning workflows
- Federated learning and privacy-preserving ML for multi-site clinical data
- Clinical validation of AI/ML models (prospective and retrospective study protocols)
- Post-market surveillance and real-world evidence generation for AI products
- Regulatory submission preparation for Software as a Medical Device (FDA SaMD
- EU MDR)
- Annotation guideline development for clinical imaging and unstructured clinical notes
