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

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About Us

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