Computational Genomics Expert
3 weeks ago
Job Title: Principal Research Scientist, Computational Genomics Lead for Oxford Research Site
Vertex is seeking a highly skilled and experienced Principal Research Scientist to lead our Computational Genomics team in Oxford. As a key member of our global research team, you will be responsible for designing and executing genomic studies to advance our drug discovery programs.
About the Role:
We are looking for a talented scientist with expertise in computational biology, bioinformatics, and genomics. Your role will involve collaborating with our Oxford Research group to design and execute genomic studies, and working closely with our global Computational Genomics team to drive the execution of genomic studies through best-practice computational analyses.
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 our global research portfolio.
- Serve as the accountable lead for the execution of prioritized computational genomic activities in the Oxford UK research site, and interface with Oxford leadership to provide regular progress updates.
- Perform advanced computational analyses of large-scale sequencing data and other biological data, through deep critical thinking, published findings, and best practices from the field.
- Distil complex analyses and scientific results into key take-home messages and recommendations for next steps to a broad audience.
What We're Looking For:
We are seeking a highly motivated and experienced scientist with a strong background in computational biology, bioinformatics, and genomics. You will have a proven track record in the analysis, visualization, and interpretation of large-scale human genetic data in a drug development context, and expertise in applying computational methods and bioinformatics tools to large-scale data.
Requirements:
- Relevant education in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field.
- Relevant industry or post-doctoral experience.
- Proven track record in the analysis, visualization, and interpretation of large-scale human genetic data in a drug development context.
- 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.
What We Offer:
Vertex offers a dynamic and collaborative work environment, with opportunities for professional growth and development. We are committed to diversity, equity, and inclusion, and we strive to create a workplace that is welcoming and inclusive for all employees.
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