HiringCafe
Posted 1w ago

Director of AI

@ Edetek
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Jersey City, New Jersey, United States
HybridFull Time
Responsibilities:AI strategy, Team leadership, Architecture development
Requirements Summary:Master’s degree in Engineering, Computer Science, or related quantitative field; 6+ years in clinical trials and development; 3+ years building AI/ML solutions; strong AI/ML fundamentals and software development; experience with databases, cloud, data ecosystems; proven leadership; strong communication.
Technical Tools Mentioned:AI/ML frameworks, Cloud platforms, Relational databases, RDF, OWL, SPARQL, SNOMED CT, CDISC, MeSH
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Job Description

Founded in 2009, EDETEK is a global leader in clinical technology and services, delivering high-quality, AI-powered platforms and solutions to pharmaceutical, biotechnology, and medical device companies. With a presence across four continents and a client base of over 100 biopharmaceutical companies, EDETEK is transforming clinical development through cloud-native technologies, intelligent data management, and automation. Our platforms are built for scalability, interoperability, and compliance.

The Director of AI will lead the development and implementation of AI strategies to enhance clinical development processes. This role is responsible for architecting scalable AI solutions, guiding technical execution, and driving innovation across EDETEK’s AI product portfolio. The ideal candidate will have deep expertise in AI and clinical development for life sciences companies, with a strong background in machine learning, data science, and enterprise AI systems. 

This role requires a dynamic leader who thrives in a fast-paced, startup-like environment and can translate business goals into impactful AI solutions. 

Essential Functions and Responsibilities 

1. AI Strategy & Leadership  

  • Define and execute the AI vision aligned with EDETEK’s strategic goals.  
  • Lead cross-functional teams to deliver AI-driven capabilities across clinical development.  
  • Provide technical leadership and mentorship across the AI engineering team.  
  • Inform and deliver on ambitious product roadmaps to accelerate growth. 

2. AI Architecture & Development  

  • Architect and build scalable AI infrastructure and solutions to support business growth.  
  • Oversee model training, optimization, and deployment of end-to-end ML models.  
  • Define best practices for AI/ML lifecycle management and governance.  
  • Ensure compliance with industry standards and regulatory frameworks. 

3. Collaboration & Stakeholder Engagement  

  • Collaborate with stakeholders to translate business goals into technical solutions.  
  • Partner with engineering, product, and clinical teams to integrate AI into platform capabilities.  
  • Communicate AI strategy and progress to executive leadership and external partners. 

4. Innovation & Technical Execution  

  • Lead initiatives in advanced AI domains including transfer learning, generative models, and reinforcement learning.  
  • Drive the development of enterprise knowledge management systems, NLP frameworks, and semantic data integration.  
  • Implement reasoning methodologies including formal logic inference, graph analytics, and machine learning discovery techniques.