About us…
The Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.
To learn more about the Crick, clickhere.
About the role…
In this role you will provide data analysis as part of the Bioinformatics & Biostatistics platform to support the UCLH-Francis Crick Institute clinicalLegacy study, working within UKRI supportedPROVAC consortiumin partnership with the project leads at the University of Cambridge. PROVAC aims to enhance the SARS-CoV-2 vaccine strain selection process by developing models to predict which variants may emerge in the future and measure immune responses against this potential future evolution. This will enable researchers to choose the variant of the virus to utilise in the next vaccine and provide the best possible future population protection.
You will support analysis of metadata and new experimental data within the PROVAC centralised data repository. Utilising a number of programming, statistical and data analysis techniques, you will analyse data from participants in the UCLH-Crick Legacy study.
What you will be doing…
As a Senior Biostatistician in the Bioinformatics & Biostatistics platform at the Crick, you will:
- Work collaboratively across the PROVAC collaboration to co-design experiments, formulate analysis plans and interpret results.
- Perform standard and advanced analyses of high-dimensional, data-intensive and complex research questions across the biomedical research spectrum using bioinformatics, biostatistics, machine learning and AI approaches.
- Empower biologists to understand their datasets, using our broad training portfolio to enable data curiosity and develop analytical skills.
- Design innovative approaches for recurrent and novel projects, and deploy corresponding tools internally, across PROVAC and beyond.
About you…
You will bring…
- A degree in a relevant subject with an extensive analytical component. E.g., mathematics, biostatistics, epidemiology, bioinformatics, or related fields.
- Advanced proficiency in R or Python programming.
- Experience applying statistical analysis techniques to solve complex data analysis problems in a collaborative biological research environment.
- Experience in data curation, pre-processing, and management especially with large biomedical datasets.
- Experience in running bioinformatics analysis software on an HPC system.
- Basic knowledge of molecular biology.
About Working at the Crick…
Our values
- We arebold. We make space for creative, dynamic and imaginative ideas and approaches. We’re not afraid to do things differently.
- We areopen. We’re highly collaborative and interactive, and make sure our activities are visible to the outside world.
- We arecollegial. We show respect for one another, work cooperatively and support the wider community.
At the Crick, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. If you need assistance with your application, please contact .
To read more about our EDI approach, clickhere.
What will you receive?
We value our team members and are proud to offer an extensive range of benefits to support their well-being and development. You can find out more about what we offerhere.
To apply, please click on the‘Apply’button above.
From £51,300 with benefits, subject to skills and experience.
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