Senior Systems Biologist

About the Role

Our client is looking for a dedicated Senior Systems Biologist to join their esteemed research division in Glasgow . This role involves applying quantitative and computational approaches to understand complex biological systems and networks. You will contribute to the development of predictive models that elucidate disease mechanisms and identify potential therapeutic targets. This is an excellent opportunity to work within a collaborative, interdisciplinary team focused on advancing biological understanding through integrated data analysis and modeling, playing a crucial role in shaping the future of our research pipeline.

Key Responsibilities

• Develop and implement computational models of biological systems, pathways, and networks.
• Integrate diverse data types, including omics data, imaging data, and clinical information, to build comprehensive system models.
• Analyze complex biological data to identify key regulators, feedback loops, and emergent properties of cellular and organismal systems.
• Collaborate with experimental biologists to design experiments that test model predictions and refine system understanding.
• Communicate findings effectively to scientific colleagues and stakeholders, contributing to the strategic direction of research projects in Glasgow .

Requirements

• Ph.D. in Systems Biology, Computational Biology, Bioinformatics, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in developing computational models of biological systems.
• Strong proficiency in programming languages (e.g., Python, R, MATLAB) and experience with modeling software and simulation techniques.
• Demonstrated ability to analyze and interpret large-scale biological datasets.
• Excellent problem-solving and critical thinking skills, with strong communication and teamwork abilities in Glasgow .

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• Generous holiday allowance and pension scheme.
• Access to state-of-the-art research facilities and technologies.
• Opportunities for continuous learning and professional development.