Principal Data Scientist - AI in Drug Discovery

About the Role

Our client is looking for an exceptional Principal Data Scientist to join their pioneering team, driving the application of Artificial Intelligence and machine learning in drug discovery . Operating in a fully remote capacity, you will leverage vast datasets to build predictive models, identify novel therapeutic targets, and accelerate the development of life-saving medicines. This role is critical in shaping the company's AI strategy and requires a blend of deep technical expertise, strategic thinking, and a passion for innovation. You will be empowered to work autonomously and collaboratively with a global team of world-class scientists.

Key Responsibilities

• Develop and deploy sophisticated machine learning models to predict drug efficacy, toxicity, and mechanism of action.
• Design and implement data mining strategies for large-scale biological and chemical datasets.
• Collaborate with computational chemists, biologists, and pharmacologists to integrate AI insights into R&D processes.
• Stay abreast of the latest advancements in AI/ML and their applications in the pharmaceutical industry.
• Communicate complex findings and strategic recommendations to senior leadership and research teams.

Requirements

• Ph.D. or equivalent experience in Data Science, Computer Science, Statistics, or a related quantitative field.
• 10+ years of experience in data science, with a significant focus on applying AI/ML to biological or chemical data.
• Expertise in programming languages such as Python, R, and SQL, along with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven track record of successfully deploying ML models in a research or product environment.
• Strong analytical and problem-solving skills, with the ability to thrive in a remote, fast-paced setting.

Benefits

• Highly competitive salary and equity options.
• Fully remote work arrangement with flexible hours.
• Comprehensive global health coverage.
• Generous allowance for home office setup and professional development.
• A stimulating and collaborative work culture focused on pioneering research.