Mexico Clinical AI Scientist (MD)

Location: Mexico; on-site

Company

hirify.global AI is a healthtech company developing AI Healthcare Employees for clinical workflows, including real-time consultation transcription, structured medical records, evidence-based decision support, and health-system integration.

What you will do

• Translate real-world clinical problems into actionable AI models that improve physician decision-making and workflows.
• Partner with engineers to validate and fine-tune models using real clinical data from across Latin America.
• Represent the clinical perspective in developing new features and tools.
• Run field pilots with doctors in hospitals and clinics, gather feedback, and refine AI products for medical accuracy.
• Adapt protocols, note templates, and recommendations to Mexican health regulations, including GPC and NOMs.
• Support training, onboarding, early adopters, and communication of clinical insights to product, engineering, and commercial teams.

Requirements

• Medical degree (MD) with clinical experience in Mexican healthcare settings.
• Deep understanding of physician workflows, preferably across multiple specialties.
• Interest or experience in AI, data science, medical informatics, or digital health.
• Excellent communication skills and the ability to earn trust with frontline doctors and engineers.
• Ability to interpret clinical data and impact metrics.
• Grit, ownership, and adaptability in fast-moving and ambiguous environments.
• Native Spanish and fluent English sufficient for technical documentation and international teams.

Nice to have

• Research or QA experience with clinical datasets, medical AI, EMRs, or digital health products.
• Familiarity with Mexican health data privacy and regulations, including NOM-004, NOM-024, and LFPDPPP.
• Experience running clinical pilots or clinical trials, or launching medical technology.

Culture & Benefits

• Competitive base salary based on experience, plus variable compensation tied to project success and adoption milestones.
• Equity participation.
• Direct mentorship from global clinical, product, and engineering leaders.
• Opportunity to impact doctors and patients through AI in medicine.
• Career growth toward medical leadership, data science, or clinical product roles.
• Fast-paced culture emphasizing ownership, focus, and initiative.