Senior Computational Biologist

About the Role

Our client is seeking a highly motivated Senior Computational Biologist to join their innovative research team based in Manchester . This role focuses on leveraging advanced computational approaches to decipher complex biological mechanisms underlying disease. You will play a key role in analyzing large-scale biological datasets, developing predictive models, and contributing to the discovery of novel therapeutic interventions. This is an excellent opportunity for a seasoned scientist to make a significant impact in a collaborative, research-intensive environment, working at the intersection of biology and data science.

Key Responsibilities

• Design and implement computational strategies for analyzing high-throughput biological data, including genomics, transcriptomics, and proteomics.
• Develop and validate predictive models to identify key biological pathways and potential drug targets.
• Collaborate closely with experimental teams to integrate computational findings with experimental validation efforts.
• Contribute to the development and maintenance of bioinformatics databases and analysis pipelines.
• Stay abreast of the latest advancements in computational biology and data science, applying novel methodologies to research challenges in Manchester .

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Statistics, or a related quantitative discipline.
• Minimum of 5 years of relevant research experience in an academic or industry setting.
• Strong programming skills in Python or R, with extensive experience using bioinformatics tools and libraries.
• Proven ability to analyze and interpret complex biological datasets and generate actionable insights.
• Excellent communication skills, capable of presenting complex scientific information clearly to diverse audiences in Manchester .

Benefits

• Competitive salary and performance-related bonuses.
• Comprehensive healthcare coverage including medical, dental, and vision.
• Generous paid time off and company holidays.
• Support for professional development, including conference attendance and training.
• Hybrid work arrangement balancing office collaboration and remote flexibility.