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CONFIDENTIAL Scovai

CONFIDENTIAL Scovai

Scovai role

Head of Health Data Science — Digital Health

Boston, USVor OrtDirector200.000 $ – 280.000 $ / Jahr

Veröffentlicht am 8. Aug. 2026

Diese Stelle wird in EN ausgeschrieben

We are conducting a confidential search for a Head of Health Data Science to lead the digital health data science function within a leading organization. This is a high-impact, director-level opportunity based in Boston on a hybrid model for a senior data science leader who will drive the strategy and execution of advanced analytics, machine learning, and AI initiatives applied to healthcare data, real-world evidence, and digital health platforms.


In this role, you will define and execute the health data science strategy, aligning with business and clinical objectives. You will lead development of ML/AI models for clinical decision support, patient outcomes prediction, and population health analytics. You will oversee real-world evidence (RWE) generation from electronic health records, claims data, and wearable/IoT sources, and build and scale a high-performing data science team specializing in healthcare and life sciences.


You will partner with product, engineering, and clinical teams to embed data science into digital health products, ensure compliance with healthcare data regulations (HIPAA, GDPR) and responsible AI practices, and drive innovation in NLP for clinical text mining, medical imaging analytics, and genomics data integration. This is a rare opportunity to shape the data science trajectory of a growing digital health enterprise.


Nice to Have:

  • Published research or patents in health data science
  • Experience with FDA digital health regulatory pathways (SaMD)
  • Expertise in genomics data integration and precision medicine analytics
  • Experience building data science teams in a startup or scale-up environment
  • Knowledge of value-based care models and health economics

Rollenübersicht

Seniorität

Director

E-Mail

jobs@scov.ai

Erforderliche Kompetenzen

Health Data ScienceMachine LearningReal-World Evidence (RWE)Digital HealthBiostatisticsNatural Language Processing (NLP)Clinical AnalyticsHIPAA/GDPR ComplianceDeep LearningHealthcare Data Standards (HL7/FHIR/OMOP)Population Health AnalyticsCloud ML Infrastructure (AWS/GCP/Azure)

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