Clinical Director - AI
Vacancy Number: PR-241551
Canada, North York
Fulltime: 40 hrs a week
Experience: 5 years
Closing: 28 January 2025
Introduction
We are hiring a Clinical Director of Artificial Intelligence for Clinical Design and Optimization for our client who operates in the pharmaceutical and biotechnology industry. We seek a dynamic Artificial Intelligence/Machine Learning expert with experience leading teams in the development and adoption of generative AI for biomedical text and sequence data.
What are you going to do
The ideal candidate is skilled in extending Large Language Models for diverse applications, handling engineering and scaling challenges in large organizations, and has a strong understanding of both biology and underlying AI algorithms. Passion for using AI to revolutionize biomedical research and unlock scientific mysteries is key to success in this role.
- Lead a team of AI/ML and software engineers to evaluate, develop, extend and apply advance ML/AI methods for Clinical Trial design, analysis and optimization.
- Develop, implement, test and refine advanced AI/ML methods for the 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 for integrating this data with other types of structure and unstructured data using multi-modal genAI methods.
- Be in close contact with our clinical teams to discuss requirements, possible solutions and ways to integrate the proposed AI/ML methods to improve clinical trial design and execution.
- Work closely with the leading generative AI companies (our vendors) to make sure our products are state of the art and up to date.
- Work with developers, engineers, and ML Operations to deliver AI/ML solutions to product teams.
Essential skills and knowledge
- PhD or MSc in computer science, machine learning, computational biology or related area with at least 6 years of experience in working on the development of methods related to deep NN, LLMs, generative AI or related topics.
- Knowledge of the biomedical domain.
- Knowledge of the clinical trial process is an advantage.
- Experience in the use of AI for NLP and text analysis and in use cases downstream of NLP LLMs.
- Demonstrated ability to lead a team of data scientists and generate software solutions.
- 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 an agile environment.
- Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark).
- Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
- Strong interest in the use of AI in the life and medical sciences to improve patient lives.
What we offer
What We Offer
Why apply through Brunel? Finding the next step in your career can be a full-time job in itself. We manage the process for you: from submitting your resume to coordinating interviews to extending offers and assisting with onboarding. We'll get you going while you get on with the job.
About Us
Brunel has a reputation for working with some of the best in the business. That's what we continually strive for. Over 45 years, we've created a global network of interesting clients and talented individuals working together through a vast array of services.
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Application process
First Contact
We carefully review your application and in the coming weeks, you will be notified for an interview session if you are selected. Only shortlisted candidates will be contacted within 7 days.
Scheduling an Interview
After being shortlisted, you will be contacted via email or telephone to arrange for a date on your availability for the qualification interview.
Phone/ Qualification Interview
During the interview, you will be assessed on your level of experience and skills, work history, availability, and the qualifications the company is seeking for the position.
Meeting in Real Life
After successfully making through the phone interview, a face to face interview will be scheduled between the candidate and recruiter. This session can be a more in-depth interview to review your communication and interpersonal skills.
Application for the Position
Submission of candidates resume for client’s approval and screening.
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