Computational Genomics Research Scientist, Early-Stage Projects

We are seeking a computational biologist with expertise in driving forward biological discoveries to join Vertex. This position is part of a global Data and Computational Sciences team focused on developing Cell and Genetic Therapy treatments of serious human diseases. You will collaborate closely with a research team dedicated to discovering and actualizing the next generation of cell and genetic therapies in diseases including type 1 diabetes and muscular dystrophy. You will design genomics studies, develop and apply analyses, and interpret the outcome, while having a critical impact on the development of transformative therapies, and the understanding of cell biology and therapeutic in vivo gene editing. You will play a key role in innovating, evaluating, and applying cutting-edge computational methods that will enable us to make rapid, data-driven decisions. Proactive communication, and seamless cross-functional collaboration will be required for success in this role.

Key responsibilities:

• Proactive collaboration with project teams, acting as the bioinformatics expert, to identify key project needs that can be addressed using genomics, sequencing, or bioinformatics contributions

• Partner with teams to plan studies that leverage sequencing, genetic, and genomic data to answer biological questions and enable development of genetic therapies

• Perform sophisticated computational analyses of sequencing data and other biological data, through deep critical thinking, published findings and best practices from the field, strong statistics, and data science visualizations

• Distill complex analyses and scientific results into key take-home messages and recommendations for next steps to a broad audience

• Author study reports and white papers to support regulatory filings

• Partner with method development team members, identifying opportunities to improve usability, accuracy, and robustness of internal methods

Minimum Qualifications:

• PhDdegree in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field, with 0-3 years of productive, relevant industry or post-doctoral experience

• Master's degree in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field, with 3+ years of productive, relevant industry experience

• A proven track record of stand-out excellence in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data

• Demonstrated ability to work across cross-functional teams, ensuring timely progress

• Superior communication skills, demonstrating condence and versatility in presenting verbally to diverse audiences and writing technical documents

• Deep scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology

• Expertise with rapidly applying computational methods and bioinformatics tools to large-scale data

• Proficiency with R, python and high-performance computing systems; solid understanding of statistics

• A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges

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