Lead Computational Biologist - Drug Discovery AI

Our client is looking for a visionary Lead Computational Biologist to drive the application of Artificial Intelligence and Machine Learning in drug discovery. This fully remote role is central to our client's strategy to accelerate the identification and development of novel therapeutics. You will lead a team of computational scientists, developing and implementing advanced algorithms to analyze complex biological data, predict drug efficacy, and optimize lead compounds.

This is an exceptional opportunity to shape the future of pharmaceutical R&D from anywhere in South Africa , working with a highly collaborative and innovative team. The ideal candidate will possess a strong background in computational biology, data science, and a passion for leveraging AI in a challenging scientific domain.

• Lead the development and implementation of AI/ML models for drug discovery, including target identification, hit finding, and lead optimization.
• Analyze and interpret large, multi-modal biological datasets (genomics, proteomics, transcriptomics, chemical structures).
• Design and build predictive models for drug properties, efficacy, and toxicity.
• Collaborate closely with medicinal chemists, biologists, and pharmacologists to integrate computational insights into drug discovery programs.
• Develop and maintain robust software tools and pipelines for data analysis and model deployment.
• Mentor and guide junior computational biologists and data scientists.
• Stay abreast of the latest advancements in AI, machine learning, and computational drug discovery.
• Communicate complex findings effectively to both technical and non-technical stakeholders.
• Contribute to the scientific strategy and intellectual property generation for drug discovery projects.

• PhD in Computational Biology, Bioinformatics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 7 years of experience in computational biology or data science, with a significant focus on drug discovery.
• Proven experience in leading scientific teams and projects.
• Deep expertise in machine learning algorithms (deep learning, reinforcement learning, Bayesian methods) and their application to biological data.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
• Experience with handling and analyzing large biological datasets.
• Familiarity with cheminformatics and molecular modeling techniques is a plus.
• Strong understanding of drug discovery processes and principles.
• Excellent communication, collaboration, and presentation skills.
• Ability to work effectively and independently in a remote setting.

This fully remote position offers a highly competitive salary, comprehensive benefits package including medical, dental, and vision insurance, a generous stock option plan, and ample opportunities for professional growth.

You will have the flexibility to work from anywhere in South Africa , contributing to cutting-edge AI-driven drug discovery.

Our client provides a supportive and innovative virtual work environment, fostering work-life balance and continuous learning. Access to collaborative platforms and virtual team-building events ensures strong team cohesion.