Lead Bioinformatician - Genomics

About the Role

Our client is a pioneering force in genetic research and is seeking an exceptional Lead Bioinformatician to join their fully remote team. This critical role will focus on the analysis and interpretation of large-scale genomic datasets to drive breakthroughs in personalized medicine. You will lead a team of bioinformaticians, architect robust analysis pipelines, and collaborate with scientists across the organization to unlock the potential of genomic information. This is an unparalleled opportunity to shape the future of genetic research from anywhere, contributing to impactful discoveries that will redefine healthcare, with a strong emphasis on remote collaboration and digital innovation.

Key Responsibilities

• Design, develop, and implement scalable bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq.
• Lead and mentor a team of bioinformaticians, overseeing project execution and ensuring high-quality results.
• Collaborate with geneticists, molecular biologists, and clinicians to interpret genomic findings and their implications for disease research and patient care.
• Develop and maintain databases and data warehousing solutions for managing and querying large genomic datasets.
• Implement state-of-the-art algorithms and statistical methods for variant calling, association studies, and functional genomics.
• Communicate complex analytical results effectively through reports, presentations, and visualizations to diverse audiences.

Requirements

• PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 7 years of progressive experience in bioinformatics, with at least 2 years in a leadership or team management capacity.
• Expertise in analyzing large-scale genomic datasets and a deep understanding of NGS technologies.
• Proficiency in programming languages such as Python, R, Perl, and scripting languages like Bash.
• Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Singularity).
• Strong understanding of statistical genetics, population genetics, and functional genomics is essential.

Benefits

• Highly competitive salary and bonus opportunities.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working hours.
• Significant investment in professional development and learning resources.
• Opportunity to work remotely from anywhere, contributing to groundbreaking research.
• Collaborative and supportive team culture with a focus on innovation and impact.