Clinical Innovation Specialist (Healthcare, Remote)

Job summary

This role involves working at the intersection of clinical science and AI development, focusing on improving clinical AI systems through rigorous evaluation and collaboration with engineers and partners.

Qualifications

• MD with postgraduate clinical experience
• PhD with significant research output involving data manipulation and analysis
• Strong ability to integrate clinical reasoning with quantitative analysis
• Passion for data, statistics, and scientific inquiry
• Curiosity about technical processes and willingness to learn from engineers
• Ability to navigate ambiguity and propose solutions
• Openness to working with agentic coding workflows

Responsibilities

• Collaborate with engineers to refine evaluation approaches for clinical AI
• Conduct hands-on experiments and develop prototypes for testing
• Apply statistical rigor to product decisions and regulatory discussions
• Analyze clinical literature to inform product enhancements
• Represent the scientific approach in partner and customer interactions
• Translate clinical feedback into measurable evaluation criteria
• Produce scientific outputs like case studies and white papers to enhance credibility

Skills

• Strong clinical and scientific background
• Proficiency in data analysis and statistical methods
• Effective communication skills for articulating complex concepts
• Ability to work collaboratively in a multidisciplinary environment

Education

• MD and PhD required

Tools

• Familiarity with NLP, ML evaluation, or AI benchmarking is a plus
• Experience with agentic coding or data analysis tools is beneficial