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Principal Research Scientist

1 month ago


Oxford, Oxfordshire, United Kingdom Vertex Full time
Job Title: Principal Research Scientist, Computational Genomics Lead

We are seeking a highly skilled Principal Research Scientist to lead our Computational Genomics team at our Oxford UK Research site. As a key member of our global Computational Genomics team, you will design and execute genomic studies to advance Vertex's drug discovery programs.

Key Responsibilities:
  • Collaborate with Oxford disease project teams to identify key project questions or challenges that can be answered using genomics, sequencing, or bioinformatics contributions.
  • Partner with Computational Genomics leads at our Boston and San Diego sites to prioritize global computational genomic needs and maximize impact across the global research portfolio.
  • Serve as the accountable lead for the execution of prioritized computational genomic activities in the Oxford UK research site, interfacing with Oxford leadership to provide regular progress updates.
  • Perform advanced computational analyses of large-scale sequencing data and other biological data, distilling complex analyses and scientific results into key take-home messages and recommendations for next steps.
  • Partner across global computational genomics team to develop guidelines for best practices for key genomic analyses.
  • Partner with genomics method development team and global computational genomics leadership to prioritize, develop, and evolve computational methods.
Requirements:
  • Relevant education in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field, and relevant industry or post-doctoral experience.
  • A proven track record in the analysis, visualization, and interpretation of large-scale human genetic data in a drug development context.
  • Demonstrated ability to work across cross-functional teams to design and implement experiments, and execute computational analysis.
  • Expertise in applying computational methods and bioinformatics tools to large-scale data; proficiency with R or Python, Linux/Unix systems, and high-performance computing systems.
  • Solid understanding of statistics and genetics, including the role of genetic variation in human disease.
  • Demonstrated ability to work across cross-functional teams, ensuring timely progress.
  • Excellent presentation and communication skills, including the ability to tailor scientific content to audiences with different backgrounds.
  • A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges.