Our client is seeking a visionary AI / ML expert to lead our team in harnessing the power of generative AI for biomedical text and sequence data.
The ideal candidate will have a proven track record in developing and implementing cutting-edge AI solutions, with a focus on large language models (LLMs) and their applications in the biomedical field.
This role offers an exciting opportunity to drive innovation at the intersection of AI and biomedical research, potentially revolutionizing clinical trial design and execution.
Responsibilities :
- Lead and mentor a team of AI / ML and software engineers in developing and applying advanced AI methods for clinical trial optimization.
- Spearhead the development and refinement of AI / ML techniques for processing and analyzing large-scale biomedical data, including text, imaging, and omics data.
- Leverage AI for knowledge extraction from various data sources and integrate multi-modal generative AI methods.
- Collaborate closely with clinical teams to align AI solutions with real-world needs and improve clinical trial processes.
- Maintain partnerships with leading generative AI companies to ensure our products remain state-of-the-art.
- Oversee the delivery of AI / ML solutions to product teams, working alongside developers, engineers, and MLOps.
Qualifications :
- PhD or MSc in Computer Science, Machine Learning, Computational Biology, or related field.
- 5-10 years of experience in deep neural networks, LLMs, or generative AI.
- Strong knowledge of biomedical sciences; familiarity with clinical trial processes is a plus.
- Expertise in AI applications for NLP and text analysis.
- Proven leadership experience in data science teams, delivering practical software solutions.
- Hands-on experience in AI / ML modeling of complex datasets, coupled with a solid theoretical foundation.
- Proficiency in deploying models in product-focused, agile environments.
- Experience with cloud and high-performance computing (e.g., AWS, GCP, Databricks, Apache Spark).
- Excellent communication skills, including data visualization and storytelling.
- Passion for applying AI in life sciences to improve patient outcomes.
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