Associate Architect, Digital Technology and AI

BioMarin Pharmaceutical Inc.San Rafael, CA

About The Position

The Associate Architect plays a pivotal role in advancing organizational AI capabilities, particularly within the healthcare sector. This position is responsible for guiding strategic AI initiatives, supporting mergers and acquisitions through comprehensive system assessments, and accelerating data and AI readiness for expansion of our real-world patient data “engine”. The ideal candidate will bridge technical innovation with practical business outcomes, ensuring that AI solutions are robust, scalable, and aligned with organizational goals.

Requirements

  • Knowledge of AI/ML deployment patterns and MLOps concepts.
  • Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) and data integration tools; hands-on experience with Azure and Azure Databricks is desired.
  • Foundational understanding of cloud networking concepts (e.g., virtual networks/VPCs, subnets, routing, VPN/private connectivity concepts, and private endpoints).
  • Foundational understanding of identity and access management concepts (e.g., least privilege, RBAC, service principals/managed identities, and SSO concepts).
  • Foundational understanding of security controls for data and AI solutions (e.g., encryption in transit/at rest, secrets management concepts, logging/monitoring concepts, and vulnerability management awareness).
  • Solid understanding of healthcare IT systems, interoperability, and data privacy regulations.
  • Ability to synthesize complex datasets and generate actionable insights.
  • Experience in statistical analysis, predictive modeling, and performance evaluation.
  • Exceptional written and verbal communication skills for technical and non-technical audiences.
  • Proven ability to collaborate across multidisciplinary teams and influence decision-making.
  • Familiarity with patient journey mapping, population health analytics, and clinical workflows.
  • Understanding of regulatory and ethical considerations in healthcare AI applications.

Nice To Haves

  • 3+ years in AI architecture or related roles within healthcare or life sciences.
  • Experience supporting M&A activities, including infrastructure and technology assessments.
  • Hands-on experience with patient discovery platforms, electronic health records (EHRs), and healthcare analytics tools.
  • Certification in AI, data science, or healthcare IT is a plus.

Responsibilities

  • Advise leadership and project teams on best practices for implementing AI solutions across business units.
  • Identify opportunities for AI-driven process optimization and innovation.
  • Develop frameworks and strategies to accelerate AI adoption while ensuring compliance and ethical standards.
  • Conduct top-down evaluations of technology infrastructure during mergers and acquisitions.
  • Assess AI and data maturity, integration potential, and scalability of acquired entities’ systems.
  • Collaborate with cross-functional teams to deliver actionable insights that inform M&A decisions.
  • Design, develop, and validate AI workflows tailored to healthcare and patient data.
  • Ensure models are interpretable, reliable, and optimized for real-world deployment.
  • Maintain awareness of emerging AI techniques and integrate them into organizational workflows as appropriate.
  • Partner with business and clinical subject matter experts to document key workflows, business rules, and success metrics, and use them to validate AI outputs for accuracy, relevance, and operational fit; flag exceptions and help drive continuous improvement.
  • Leverage AI tools and architect scalable pipelines to enhance patient discovery processes.
  • Analyze patient data to identify patterns, improve engagement, and optimize care pathways.
  • Work cross functionally with research, clinical, and commercial teams to translate insights into actionable strategies.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

No Education Listed

Number of Employees

501-1,000 employees

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