Director, Data Science

  • Location

    Boston

  • Sector:

  • Job type:

    Temporary

  • Salary:

    Negotiable

  • Contact:

    Edward Hincks

  • Contact email:

    e.hincks@ioassociates.com

  • Job ref:

    BBBH163509_1753983319

iO are supporting a global biopharmaceutical company dedicated to innovating for the betterment of patients and their families. They are seeking a Director of Data Science to join their team. This leadership role will be instrumental in implementing transformative AI/ML/GenAI solutions in the areas of Clinical Trial Execution and Digital Healthcare within R & D.
Key Responsibilities:

  • Leading the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, patient recruitment, retention, real-time data monitoring, and automated data collection system build.
  • Overseeing the creation of GenAI applications for automated clinical trial documentation generation.
  • Developing Digital Healthcare applications for medical and scientific tools, real-world data generation, and patient engagement.
  • Designing predictive models and generative AI solutions using diverse healthcare data sources.
  • Collaborating with cross-functional teams to drive business value through AI-driven solutions.
  • Establishing strategic relationships with external subject matter experts and technology partners.
  • Ensuring compliance with regulatory requirements and data privacy standards.
  • Promoting knowledge exchange R & D.


Requirements:

  • Proficiency in programming languages such as Python, R, and modern ML frameworks like PyTorch, TensorFlow.
  • Experience with generative AI technologies and natural language processing for medical text analysis.
  • Strong relationship-building skills with various stakeholders.
  • Knowledge of cloud-based platforms, particularly AWS, and code version control.
  • Ability to adapt AI solutions to address healthcare challenges effectively.
  • Educational background: Advanced degree (MS or PhD) in Data Science, Computer Science, or related fields.
  • 7-10 years of professional experience with a focus on AI/ML techniques in healthcare or clinical research.
  • Background in healthcare/AI implementation is advantageous.
  • Familiarity with digital healthcare tools design and development.