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Lead AI Architect & Principal Data Scientist (Healthcare & Life Sciences)

CELEBAL TECHNOLOGIES AMERICAS, INC.
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
arc.dev

Tech stack

Cerner Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Health Informatics Continuous Integration Data as a Services Data Governance Dicom Python (Programming Language)
+15 more
Tensorflow Azure Machine Learning Systems Architecture Explainable AI (XAI) Pytorch Fast Healthcare Interoperability Resources System Availability Large Language Models Deep Learning Electronic Medical Records Information Technology HuggingFace Health Level Seven International Machine Learning Operations Drift Detection

Job description

  • Architecture & Strategy: Define the overarching technical blueprint for healthcare AI/ML platforms, ensuring high availability, scalability, and seamless integration with EHR/EMR systems (Epic, Cerner) and imaging networks (PACS/DICOM).
  • Model Innovation & Development: Architect and guide the deployment of specialized ML, Deep Learning, and generative AI models (NLP/LLMs for clinical text, computer vision for medical imaging, risk-stratification models).
  • Data Governance & Compliance: Embed regulatory and privacy frameworks into system architecture by design-enforcing strict compliance with HIPAA, HITECH, FDA guidelines for SaMD (Software as a Medical Device), and GDPR.
  • MLOps & Pipeline Engineering: Lead the transition from proof-of-concept to robust CI/CD and MLOps pipelines handling multimodal health data, bias detection, drift monitoring, and explainable AI (XAI).
  • Cross-Functional Leadership: Partner closely with clinicians, bioinformatics researchers, data engineers, and product leadership to translate complex medical requirements into technical solutions.

Requirements

  • Healthcare Domain Expertise: 5+ years of direct experience working with healthcare data modalities (EHR, claims, clinical trials, or biomedical imaging) and standards (FHIR, HL7, DICOM, SNOMED CT, ICD-10)., * Deep proficiency in Python, R, and frameworks like PyTorch, TensorFlow, and Hugging Face.
  • Hands-on expertise architecting end-to-end distributed pipelines on AWS (HealthLake, SageMaker), GCP (Healthcare API, Vertex AI), or Azure Health Data Services.
  • Strong foundation in statistical modeling, causal inference, and ethical AI/bias mitigation.
  • Systems Architecture: Demonstrated track record of deploying mission-critical machine learning systems into clinical or regulated environments.
  • Education: Master’s or Ph.D. in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, or a related quantitative discipline (or equivalent practical experience).

Benefits & conditions

  • Build technology that directly impacts patient care, clinician efficiency, and health equity.
  • Lead a high-caliber team of researchers, clinicians, and software engineers.
  • Competitive compensation, equity, and comprehensive health and wellness benefits.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
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