Director of Computational Biology

I am partnering with a leading Biotechnology company at the forefront of oncology innovation in their search for a Director of Bioinformatics. This is a senior strategic role where you will shape and lead the direction of a talented cross-functional teams of Bioinformaticians, Computational Biologists and ML Experts. You will be integral for driving the development of cutting-edge computational approaches that power oncology drug discovery and translational research.

Key Responsibilities:

• Provide strategic and operational leadership for a diverse and growing data analytics team of 10+ experts, including computational biologists, ML Experts, biomathematicians, and cheminformaticians.
• Design and implement advanced bioinformatics strategies and tools that enable new discoveries in cancer biology, therapeutic targets, and biomarker identification
• Drive the exploration of internal and external multi-omics datasets to generate novel scientific insights relevant to oncology and precision medicine.
• Oversee the development and optimization of high-throughput bioinformatics pipelines and ensure robust, scalable data workflows.
• Champion data quality, integrity, and reproducibility, ensuring alignment with regulatory standards and best practices in data governance, security, and software validation.
• Apply sophisticated statistical models and AI-driven approaches to model disease mechanisms and predict therapeutic outcomes.
• Foster innovation through partnerships with academic institutions, clinical networks, and pharma collaborators

Ideal Background:

• PhD or equivalent in Bioinformatics, Computational Biology, Systems Biology, or a related field
• Extensive experience in oncology-focused bioinformatics, with a strong understanding of multi-omics data integration and translational science
• Proven leadership skills with the ability to inspire and manage multidisciplinary teams
• Familiarity with regulatory frameworks, data standards, and modern software development practices in a life sciences setting
• Excellent communication and collaboration skills, particularly across cross-functional teams and external partnerships
• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics software and platforms
• Strong background in machine learning, algorithm development, and computational biology applied to multi-omics data.

Following your application Jay Robins, a specialist AI Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Jay Robins for any further information.

Email: jrobins@barringtonjames.com