Senior Computational Biologist
4 weeks ago
We are seeking a highly skilled and experienced Senior Computational Biologist to join our team in Oxford, UK. This is an exciting opportunity for a talented individual to work on cutting-edge computational biology projects and contribute to the development of transformative therapies for people with serious and life-threatening diseases.
About the Role:
- You will be responsible for leading the design and execution of genomic studies to advance Vertex's drug discovery programs.
- Collaborate closely with the Oxford Research group to identify key project questions or challenges that can be answered using genomics, sequencing, or bioinformatics contributions.
- Partner with global computational genomics leads 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.
- 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.
- Develop guidelines for best practices for key genomic analyses and partner with the genomics method development team and global computational genomics leadership to prioritize, develop, and evolve computational methods.
About You:
- 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.
Benefits:
- Estimated salary range: £70,000 - £110,000 per annum.
- An excellent benefits package, including health insurance, retirement savings plan, and paid time off.
- The opportunity to work with a global biotechnology company that invests in scientific innovation.
- A collaborative and dynamic work environment with a team of talented professionals.
Company Information:
Lifelancer is a talent-hiring platform in Life Sciences, Pharma, and IT that connects talent with opportunities in pharma, biotech, health sciences, healthtech, and IT domains.
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