Senior Computational Biologist - Machine Learning in Drug Discovery

About the Role

Our client is seeking a talented and innovative Senior Computational Biologist to join their pioneering team, working remotely to advance machine learning applications in drug discovery . This role is crucial in developing and applying sophisticated computational models and algorithms to predict drug efficacy, toxicity, and mechanism of action. You will collaborate closely with medicinal chemists, biologists, and data scientists to integrate diverse datasets and build predictive tools that accelerate the identification and optimization of novel drug candidates. The ideal candidate thrives in a remote setting, possesses strong programming skills, a deep understanding of biological systems, and a passion for leveraging cutting-edge AI to solve complex pharmaceutical challenges.

Key Responsibilities

• Develop and implement machine learning models and algorithms for predictive applications in drug discovery.
• Analyze and integrate large, multi-modal datasets (e.g., chemical structures, biological assays, omics data) to build predictive models.
• Collaborate remotely with cross-functional teams to define research questions and translate them into computational solutions.
• Design and conduct computational experiments to validate model predictions and guide experimental efforts.
• Contribute to the scientific literature and present findings at virtual conferences and team meetings.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related field with a strong biological component.
• Minimum of 5 years of experience applying computational methods and machine learning to biological problems.
• Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of drug discovery principles and biological pathways.
• Proven ability to work independently and effectively in a remote team environment.

Benefits

• Competitive salary commensurate with experience and a performance bonus.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working hours.
• A budget for home office setup and professional development, including online courses and virtual conferences.
• The opportunity to work on impactful projects at the intersection of AI and medicine from the comfort of your own home.