Lead Computational Biologist - Bioinformatics

Our client is seeking an experienced Lead Computational Biologist to spearhead their bioinformatics initiatives from a remote-first capacity. This critical role involves developing and implementing advanced computational strategies to analyze large-scale genomic and proteomic datasets, driving discoveries in precision medicine and drug development. You will lead a team of talented bioinformaticians, guiding research directions and ensuring the robustness of our analytical pipelines.

This is an exceptional opportunity for a motivated professional to make a significant impact on global health through innovative data science and biological insight, working within a fully remote and flexible environment.

• Develop, validate, and implement cutting-edge bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., WGS, WES, RNA-Seq).
• Lead the design and execution of computational analyses to identify novel biomarkers, drug targets, and disease mechanisms.
• Collaborate closely with experimental biologists, geneticists, and clinicians to interpret complex biological data and generate actionable insights.
• Manage and mentor a team of computational biologists, fostering a collaborative and productive remote working environment.
• Develop and maintain robust data management strategies, ensuring data integrity and accessibility for research projects.
• Stay abreast of the latest advancements in computational biology, machine learning, and genomics, and apply them to research challenges.

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of progressive experience in bioinformatics research, with at least 2 years in a leadership or team management role.
• Expertise in programming languages such as Python and R, and proficiency with bioinformatics libraries and tools (e.g., Bioconductor, Samtools, BWA).
• Strong understanding of statistical methods, machine learning algorithms, and their application to biological data.
• Experience with cloud computing platforms (AWS, GCP, Azure) and high-performance computing environments.
• Excellent communication and presentation skills, with the ability to clearly articulate complex technical concepts to diverse audiences, especially in a remote setting.

• Highly competitive salary and performance-based incentives.
• Comprehensive remote work infrastructure support and home office allowance.
• Full health, dental, and vision insurance coverage.
• Generous paid time off and flexible working hours.
• Opportunities for continuous learning, professional development, and conference participation.