Head of Computational Biology

The Company is seeking a Head of Computational Biology to spearhead the development and strategic direction of its computational biology capabilities. The successful candidate will be responsible for leading and nurturing a high-performing team, applying computational approaches to complex biological and therapeutic questions, and driving the analysis of various genomic and multi-omics datasets. This role demands a leader who can work in close collaboration with experimental biology, bioinformatics, data science, and drug discovery teams, and who is adept at identifying and implementing emerging techniques in machine learning, AI, and computational biology. The Head of Computational Biology will also be tasked with building robust computational workflows, establishing external collaborations, and effectively communicating scientific strategies to senior stakeholders. Applicants for the Head of Computational Biology position at the company should possess a PhD or equivalent experience in a relevant discipline, with a strong background in genomics, transcriptomics, single-cell, or multi-omics approaches. The role requires a professional with a proven track record in computational biology, including significant industry or academic experience, and a history of delivering computational insights that impact scientific decision-making. Expertise in programming and data-analysis tools such as Python or R, as well as a solid understanding of machine learning and AI applications in biological research, is essential. The ideal candidate will have excellent communication and stakeholder-management skills, and a demonstrated ability to lead and develop scientific teams.