Senior Computational Biologist

About the Role

Our client is seeking a highly skilled and analytical Senior Computational Biologist to join their dynamic research team in Oxford . This role is essential for developing and applying computational approaches to analyze complex biological data, driving insights across discovery and development programs. You will collaborate with a multidisciplinary team of biologists, chemists, and data scientists to uncover patterns, build predictive models, and guide experimental design. This is an exceptional opportunity to contribute to cutting-edge scientific research in a leading academic and biotech hub, utilizing a hybrid work model for optimal flexibility and collaboration.

Key Responsibilities

• Develop and implement computational and statistical methods for analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics.
• Design and build robust bioinformatics pipelines for data processing, integration, and analysis.
• Collaborate with experimental biologists to interpret results, generate hypotheses, and guide experimental strategies.
• Apply machine learning and data mining techniques to identify biomarkers, predict drug response, and understand disease mechanisms.
• Develop data visualization tools and reports to effectively communicate complex findings to diverse audiences.
• Stay current with the latest advancements in computational biology, bioinformatics, and relevant biological domains.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in computational biology or a related field, with a strong focus on biological data analysis.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and tools.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with high-performance computing (HPC) environments and cloud computing platforms is advantageous.
• Excellent communication and teamwork skills, with the ability to present complex technical information clearly.

Benefits

• Competitive salary and performance-based incentives.
• Hybrid working model offering a balance of on-site and remote work.
• Comprehensive health, dental, and vision insurance coverage.
• Generous contributions to a retirement savings plan.
• Support for professional development, including attending scientific conferences and workshops.
• Access to state-of-the-art computational resources and a collaborative research environment in Oxford .