Lead Computational Biologist

About the Role

Our client is seeking an accomplished Lead Computational Biologist to head their bioinformatics and computational research efforts in George . This critical role involves leveraging advanced computational tools and statistical methods to analyze large-scale biological datasets, driving insights that will shape future research directions. You will lead a team of computational biologists, fostering innovation and ensuring the efficient processing and interpretation of complex genomic and proteomic data.

This position is ideal for a seasoned professional looking to make a substantial impact within a forward-thinking scientific organization.

• Lead the design and implementation of computational pipelines for the analysis of large-scale biological data, including genomics, transcriptomics, and proteomics.
• Develop and apply advanced statistical and machine learning models to identify patterns, biomarkers, and therapeutic targets from complex datasets.
• Collaborate closely with experimental biologists and clinicians to interpret results and guide research strategies in George .
• Manage and mentor a team of computational biologists, overseeing project timelines and resource allocation.
• Ensure the quality, reproducibility, and documentation of all computational analyses and software developed.
• Present research findings to internal teams, external collaborators, and at scientific conferences.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 8 years of progressive experience in computational biology or bioinformatics, with at least 2 years in a team leadership capacity.
• Proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or C++.
• Extensive experience with biological databases, sequence alignment tools, and genome assembly software.
• Strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with non-computational scientists.

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision coverage.
• Generous allowance for professional development, including attendance at international conferences.
• Opportunity to lead groundbreaking research in a scenic coastal city like George .
• Retirement savings plan and ample paid time off.