Director, Data Science
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Location
Boston
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Sector:
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Job type:
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Salary:
Negotiable
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Contact:
Edward Hincks
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Contact email:
e.hincks@ioassociates.com
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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.
