Principal Computational Biologist - Remote

About the Role

Our client is seeking a highly experienced and innovative Principal Computational Biologist to join their cutting-edge Scientific Research & Development division, operating on a fully remote basis. This senior role is critical for advancing our understanding of complex biological systems through sophisticated data analysis and modeling. You will spearhead the development and application of computational approaches to interpret large-scale omics data, driving key research decisions and strategy. This is an exceptional opportunity for a seasoned professional to lead impactful projects, shape the future of biological research from anywhere in the UK, and contribute to a culture that values scientific rigor, collaboration, and technological advancement.

Key Responsibilities

• Design and implement advanced computational and statistical methodologies to analyze diverse biological datasets, including genomics, transcriptomics, and proteomics.
• Develop and maintain robust data analysis pipelines and software tools to support research objectives.
• Collaborate closely with experimental biologists and clinicians to translate complex biological questions into testable computational hypotheses.
• Provide technical leadership and mentorship to a team of computational biologists and bioinformaticians.
• Stay abreast of the latest advancements in computational biology, machine learning, and AI, and integrate them into the research workflow.
• Communicate research findings effectively to both technical and non-technical audiences through presentations and publications.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of progressive experience in computational biology or bioinformatics, with a strong focus on biological data analysis.
• Expertise in programming languages such as Python or R, and experience with biological databases and ontologies.
• Proven experience in developing and managing large-scale data analysis projects and leading scientific teams.
• Deep understanding of statistical modeling, machine learning algorithms, and their application in biological research.
• Excellent problem-solving skills and the ability to work autonomously and collaboratively in a remote setting.

Benefits

• Highly competitive salary and performance-related bonuses.
• Opportunity to work entirely remotely with flexible working hours.
• Comprehensive private medical insurance and wellness programs.
• Generous budget for professional development, including conferences and training courses.
• Be part of a forward-thinking organization at the forefront of scientific R&D , making a global impact.