Senior Research Scientist - AI & Machine Learning in Biology

About the Role

Our client is looking for an exceptional Senior Research Scientist specializing in AI and Machine Learning to join their pioneering team, operating entirely remotely. This role is at the forefront of applying advanced computational techniques to unlock biological insights and drive innovation in areas such as drug discovery and personalized medicine. You will be instrumental in developing and deploying sophisticated AI models, analyzing vast biological datasets, and collaborating with a world-class team of scientists. This fully remote position offers the unique opportunity to shape the future of biological research using cutting-edge technologies from anywhere in the UK, fostering a culture of innovation and scientific excellence.

Key Responsibilities

• Design, develop, and implement novel AI/ML algorithms for analyzing complex biological data (genomics, proteomics, imaging).
• Build predictive models for target identification, drug efficacy, and disease progression.
• Collaborate with biologists, chemists, and engineers to translate research hypotheses into computational solutions.
• Manage and process large-scale biological datasets, ensuring data integrity and efficient analysis.
• Evaluate and benchmark the performance of AI models, identifying areas for improvement.
• Contribute to scientific publications, patent applications, and presentations at leading conferences.

Requirements

• PhD in Computer Science, Bioinformatics, Computational Biology, Statistics, or a related quantitative field.
• Significant experience (7+ years) applying AI/ML techniques to biological problems.
• Expertise in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Keras).
• Strong understanding of machine learning principles, deep learning architectures, and statistical modeling.
• Experience with cloud computing platforms (AWS, Azure, GCP) and distributed computing is highly desirable.
• Excellent problem-solving abilities and strong communication skills for a remote, collaborative setting.

Benefits

• Highly competitive salary and a comprehensive benefits package.
• Fully remote work arrangement with flexibility in working hours.
• Opportunity to work on groundbreaking AI research in biology.
• Access to substantial computational resources and cutting-edge tools.
• Generous professional development budget for training and conferences.