Lead Computational Biologist

About the Role

Our client is seeking a visionary Lead Computational Biologist to spearhead their data-driven research initiatives, working entirely remotely. This role is critical for advancing our understanding of complex biological systems through the application of advanced computational and statistical methods. You will lead a team of talented computational biologists, architecting data analysis strategies, developing novel algorithms, and interpreting large-scale biological datasets (genomics, proteomics, transcriptomics) to uncover critical insights. This is a unique opportunity for a seasoned leader to define the computational biology roadmap and drive scientific breakthroughs from the comfort of their home office, supporting research efforts with ties to Derby .

Key Responsibilities

• Lead the design and implementation of computational biology projects, from data acquisition to interpretation.
• Develop, optimize, and maintain scalable bioinformatics pipelines and workflows for diverse biological data types.
• Apply advanced statistical modeling, machine learning, and AI techniques to analyze complex biological data.
• Collaborate extensively with experimental biologists, geneticists, and bioinformaticians across multiple research sites.
• Mentor and guide junior computational biologists, fostering a collaborative and innovative team environment.
• Contribute to the strategic direction of computational biology efforts and the development of novel research hypotheses.

Requirements

• PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in computational biology or bioinformatics research, with a strong publication record.
• Demonstrated experience in leading research projects and managing scientific teams.
• Expertise in programming languages (Python, R) and experience with bioinformatics tools and databases.
• Strong understanding of molecular biology, genetics, and systems biology.
• Proven ability to effectively communicate complex scientific findings to diverse audiences in a remote setting.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote work environment with flexible working hours.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget and home office stipend.
• Opportunity to shape cutting-edge research and contribute to significant scientific advancements.