Lead Computational Biologist

About the Role

Our client is seeking a dynamic and visionary Lead Computational Biologist to spearhead their computational biology efforts in Birmingham . This pivotal role involves guiding a team of talented scientists in developing and applying advanced computational strategies to dissect intricate biological mechanisms and accelerate drug discovery. You will play a key role in shaping the scientific direction of the company's research programs, fostering innovation, and ensuring the rigorous application of cutting-edge bioinformatics tools. This is an exceptional opportunity to make a significant impact on novel therapeutic development within a supportive and fully remote work environment, collaborating with leading experts in the field and driving critical research advancements.

Key Responsibilities

• Lead and manage a team of computational biologists, fostering a collaborative and high-performing research environment.
• Develop and implement novel computational frameworks for analyzing complex biological data, including single-cell genomics and spatial transcriptomics.
• Design and execute bioinformatics analyses to support preclinical and clinical research programs.
• Collaborate closely with experimental biologists, chemists, and clinicians to integrate computational findings with experimental data.
• Present research findings and strategic recommendations to senior management and external stakeholders.
• Ensure the highest standards of scientific rigor and data integrity in all computational analyses.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, or a closely related field, with a strong track record of research leadership.
• Extensive experience (7+ years) in computational biology, including experience in leading research projects and teams.
• Expertise in advanced statistical modeling, machine learning, and bioinformatics algorithms.
• Proficiency in programming languages (e.g., Python, R, C++) and experience with high-performance computing environments.
• Familiarity with various biological data types and experimental designs.
• Excellent leadership, communication, and interpersonal skills, crucial for remote team management.

Benefits

• Highly competitive salary with generous bonus structure.
• Comprehensive health, dental, and vision insurance tailored for remote employees.
• Significant opportunities for professional growth and leadership development.
• Flexible working hours and a strong work-life balance focus.
• Access to cutting-edge computational infrastructure and research tools.