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Neko Health

Principal Clinical Scientist, Medical Devices – AI

Neko Health

. Set the scientific direction for evidence generation for devices, AI algorithms and software as a medical device .

Posted 11/4/2026full-timeUnited StatesLead💰 $202,500 - $247,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and leading clinical studies, particularly in medical devices and AI, while ensuring compliance with regulatory standards. Proficient in utilizing AI and data analysis to generate reusable evidence that informs product development and clinical decision-making.

Highest-signal resume keywords
MD, PhD Or Equivalent Doctoral-Level Training8 Years Experience Designing Clinical StudiesFluency With AI And Data AnalysisProficiency In Python Or RUnderstanding Of Regulatory Pathways

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Clinical Study DesignEvidence GenerationAI Model EvaluationStatistical AnalysisSample Size SpecificationDiagnostic-Accuracy StudiesAI Validation StudiesMethodological StandardsStudy Protocol DevelopmentEvidence Mapping
Soft Skills
MentoringCollaborationCritical ThinkingProblem SolvingCommunication
Tools & Technologies
Large Language ModelsAI AlgorithmsMedical DevicesDigital Health TechnologiesData Science Tools
Industry Keywords
Clinical ResearchEpidemiologyBiomedical EngineeringBiostatisticsMedical AIFDA RegulationsEU MDRISO 14155UK MHRAProspective Studies

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Set the scientific direction for evidence generation for devices, AI algorithms and software as a medical device
  • Translate product bets and member impact goals into testable hypotheses, evidence plans and rigorous study protocols
  • Design novel studies where no established template exists
  • Use AI throughout study design and analysis and evaluate AI models properly
  • Design studies that support regulatory and ethics review and generate reusable evidence
  • Design studies for Neko clinics, member workflows and safeguards
  • Ensure each study produces reusable data, methods or templates
  • Challenge study designs from partners, universities, vendors and internal teams
  • Set methodological standards and mentor earlier-career scientists
  • Collaborate with product, engineering, data science, clinical operations, regulatory and quality teams
  • Drive evidence-based go/no-go decisions and rapid clinic launches
  • Ensure protocols are approved quickly and answer their intended questions
  • Enable evidence to serve product, regulatory and scientific purposes

Requirements

What you’ll need
  • MD, PhD or equivalent doctoral-level training in a relevant field (clinical research, epidemiology, physiology, biomedical engineering, biostatistics, medical AI or similar)
  • At least 8 years of experience designing and leading clinical or validation studies, including at least 4 years on medical devices, diagnostics, digital health or AI/SaMD
  • A record of taking something new from idea to evidence used in a product, regulatory submission or clinical decision
  • Hands-on fluency with AI and data; proficiency in Python or R
  • Understanding of modern ML and foundation model development and evaluation
  • Daily use of large language models
  • Working understanding of evidence mapping to regulatory and ethics pathways, including FDA, EU MDR, ISO 14155 or UK MHRA
  • Ability to specify and defend sample size, endpoint, reference standard and analysis plan
  • Experience with diagnostic-accuracy and AI validation studies
  • Experience in a fast, product-led environment such as a technology company, medtech scale-up or applied research lab
  • Must live in or plan to relocate to New York, New Jersey, Connecticut, Florida, California or Washington, DC
  • Preferred: experience with physiological sensing, imaging or multimodal biomarker and AI validation
  • Preferred: experience running prospective studies across several sites or countries, including Europe and the US
  • Preferred: experience mentoring earlier-career scientists
  • Preferred: publications and judgment about their product relevance

Benefits

Comp & perks
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