Clinical Trial Optimization Lead
5 days ago
About the Job:
">We are an innovative global healthcare company driven by a purpose to improve people's lives. Our team, spanning across 100 countries, is dedicated to transforming the practice of medicine by turning impossible into possible.
Our digital transformation program focuses on accelerating data transformation and adoption of AI and ML solutions. This will accelerate R&D, manufacturing, and commercial performance while bringing better drugs and vaccines to patients faster.
">You are a dynamic expert with experience in leading teams focused on developing, using, and adopting generative AI for biomedical text and sequence data. The ideal candidate is passionate about unlocking the mysteries of science and changing the way biomedical research is performed.
Work Location: North York / Toronto, Ontario, Canada. Hybrid work arrangement requires 2 days per week in office.
- Lead a team to evaluate, develop, extend, and apply advanced ML / AI methods for Clinical Trial design, analysis, and optimization.
- Develop, implement, test, and refine advanced AI/ML methods for processing, analysis, modeling integration, and visualization of large-scale biomedical data including text, imaging, and omics data.
- Use AI and ML methods for knowledge extraction from text and other structured data and integrating this data with other types of structured and unstructured data using multi-modal genAI methods.
- Maintain close contact with clinical teams to discuss requirements, possible solutions, and ways to integrate proposed AI/ML methods to improve clinical trial design and execution.
About You:
- PhD or MSc in computer science, machine learning, computational biology, or related area.
- Knowledge of the biomedical domain and clinical trial process.
- Experience in AI for NLP and text analysis as well as downstream use cases.
- Demonstrated ability to lead a team and generate software solutions that are practical and useful.
- Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
- Experience developing deployable code and deploying models in product-focused development under agile environments.
- Comfortable working in cloud and high-performance computing environments.
- Excellent written and verbal communication, business analysis, data visualization, and data storytelling skills.
- Strong interest in AI applications in life and medical sciences to improve patient lives.
- Seniority Level - Senior. Requires previous experience leading a team.
- Minimum Education - Master's Degree, PhD preferred.
Ideal Candidate:
An experienced professional who has developed AI methods, coded them, and had them shipped or used in the medical/biotech domain.
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