Senior Machine Learning Scientist - AI in Drug Discovery

About the Role

Our client is seeking an innovative and experienced Senior Machine Learning Scientist to spearhead their efforts in applying Artificial Intelligence to drug discovery, operating in a fully remote capacity. This role is at the forefront of transforming pharmaceutical research by developing and implementing cutting-edge ML models to predict compound efficacy, toxicity, and optimize drug design. You will work with vast datasets, tackle complex predictive challenges, and collaborate closely with domain experts. This is an exceptional opportunity for a motivated individual to drive significant impact in a fast-paced, research-driven environment, contributing to the development of life-saving medicines from anywhere in the world. The role emphasizes a deep understanding of ML algorithms and their practical application within the pharmaceutical sector.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models for applications in drug discovery, such as target identification, virtual screening, and ADMET prediction.
• Process, clean, and analyze large and complex biological and chemical datasets to extract meaningful features and insights.
• Collaborate closely with medicinal chemists, biologists, and computational scientists to integrate ML solutions into research workflows.
• Evaluate model performance, conduct rigorous validation studies, and ensure reproducibility of results.
• Stay current with the latest advancements in machine learning, deep learning, and their applications in the life sciences.
• Communicate findings and technical strategies effectively to both technical and non-technical audiences in a remote setting.

Requirements

• PhD or equivalent degree in Computer Science, Machine Learning, Statistics, Bioinformatics, or a related quantitative field.
• Extensive experience (6+ years) in machine learning, with a focus on deep learning and predictive modeling.
• Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong experience working with large-scale datasets, including biological, chemical, or clinical data.
• Demonstrated ability to apply ML techniques to solve complex scientific problems.
• Excellent communication, collaboration, and problem-solving skills, with experience working effectively in a remote team.

Benefits

• Highly competitive salary and substantial performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office setup and professional development opportunities.
• Flexible working hours and a strong emphasis on work-life balance.
• The chance to work on groundbreaking AI applications in drug discovery.
• A highly collaborative and innovative virtual work culture.