Machine Learning Researcher

My client are a leading global technology company specializing in artificial intelligence (AI) and machine learning solutions. They focus on creating advanced decision-making systems for various industries, mainly bio/pharma through leveraging the power of AI to solve complex problems and optimize processes.

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I am currently looking to speak with Machine Learning Scientists who have prior experience or a passion for the latest advancements within Biology.

This is a fantastic Opportunity for someone fresh out of a PhD or looking to take their career to the next level by working the forefront of AI within Life sciences.

As a Research Scientist, you will focus on developing and implementing innovative algorithms, while also exploring and evaluating cutting-edge research ideas in areas such as multi-round experimental design, active learning, Bayesian optimization, model-based reinforcement learning, large language models, representation learning, and uncertainty quantification. Your work will address key challenges in biological sequence design.

Other Responsibilities:

• Develop and apply innovative research on Bayesian experimental design to optimize biological sequences through multiple rounds of experimentation.
• Contribute to team research and publish results at leading journal and conference venues.
• Report and present experimental results and research findings, both internally and externally, verbally and in writing.
• Collaborate internally with your colleagues / Team Members and externally with global industry leaders to meet Research goals.

Your Background:

• Ms or PhD in Computational Biology, Artificial Intelligence (AI), Machine Learning or a related scientific field.
• Practical knowledge of modern deep learning, Large Language Models (LLMs), Bayesian optimization, and reinforcement learning.
• Hands on Experience with Deep Learning Frameworks i.e. Pytorch or Tensorflow.
• Software development skills in Python.