Senior Computational Biologist - AI in Drug Discovery

About the Role

Our client is at the forefront of utilizing artificial intelligence to revolutionize drug discovery and is seeking a talented Senior Computational Biologist to join their dynamic team. This fully remote position will focus on developing and applying AI/ML models to complex biological datasets, aiming to identify novel drug targets and predict therapeutic efficacy. You will work within a highly collaborative, innovative environment alongside data scientists, biologists, and chemists to accelerate the development of new medicines. This is a unique opportunity to contribute significantly to the application of cutting-edge technologies in a mission-driven organization, impacting the future of healthcare.

Key Responsibilities

• Develop and implement machine learning models and algorithms for analyzing large-scale biological and chemical data.
• Identify and validate novel drug targets and biomarkers using computational approaches and predictive modeling.
• Collaborate with chemists and biologists to integrate computational findings into drug discovery programs.
• Design and analyze experiments to test hypotheses generated from AI-driven insights.
• Contribute to the development of internal software tools and pipelines for drug discovery.
• Stay current with the latest advancements in AI, machine learning, and computational biology in drug discovery .

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
• 5+ years of experience applying computational and machine learning techniques to biological problems.
• Proficiency in programming languages such as Python or R, and experience with relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of molecular biology, genomics, and drug discovery processes.
• Experience with handling and analyzing large datasets, including public databases and proprietary data.
• Excellent problem-solving abilities and a passion for applying AI to solve complex scientific challenges.

Benefits

• Highly competitive salary and stock options package.
• Fully remote work environment with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget for courses and conferences.
• Opportunity to work on transformative AI projects in pharmaceutical research and shape the future of medicine.