We are seeking a computational biologist with expertise in making biological discoveries by leveraging large-scale genomic data to join Vertex’s research site in Boston, MA. This position is part of a growing global Computational Genomics team focused on developing gene editing and genetic therapy treatments of serious human diseases. Your key tasks will be to collaborate with cross-functional project teams to design studies, analyze and interpret large-scale genomics data, and communicate results that will have critical impact on the development of cutting-edge, transformative therapies. You will play a key role in bringing together the needs of project teams with state-of-the-art computational biology tools, which will require proactive communication and seamless collaboration with both computational and experimental team members.
Key responsibilities:
• Collaborate with project teams, acting as the computational biology expert, to identify key needs and questions that can be addressed using genomics, sequencing, or bioinformatics contributions
• Plan studies leveraging sequencing, genetic, and genomic data to answer biological questions and enable development of genetic therapy treatments
• Plan, execute, and iterate on analysis of large-scale sequencing data, in partnership with computational and experimental team members
• Visualize, summarize, and communicate findings to project teams and other key stakeholders
• Follow cutting-edge advancements in the fast-paced fields of gene editing and genetic therapies, bringing developments in-house or building upon them as appropriate
• Partner with method development team members to improve or expand computational methods
Minimum Qualifications:
• PhD degree in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field
• A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data
• Demonstrated ability to work closely with project teams and/or experimental collaborators to design studies and develop analyses to answer scientific questions
• Solid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology
• Expertise with applying computational methods and bioinformatics tools to large-scale data; proficiency with R, Python, Linux/Unix systems, high-performance computing systems; solid understanding of statistics
• Detail-oriented and self-motivated approach to problem solving with excellent reasoning skills
• A team-oriented growth mindset that welcomes feedback from others and supports other team members; strong collaboration skills to work across teams and functions
• A positive attitude that enthusiastically tackles and overcomes challenges
• Strong organizational and time-management skills to prioritize needs and get things done
• Excellent presentation and communication skills, including the ability to tailor scientific content to audiences with different backgrounds
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