At DIOSVax, you would be taking on a cutting-edge project to develop the world's first universal influenza vaccine. With funding from Innovate UK, this work involves collaborating with a team on computational methods to evolve improved, novel methods for designing synthetic vaccine inserts. The bioinformatic analysis will involve the use of viral sequences to inform antigen design based on structural approaches and epitope enrichment, using empirical data from existing monoclonal antibodies, as well as in silico
predictions of epitopes. There will also be a traditional statistical component involved in the analysis of data from the laboratory assays.
The project is based at the Lab of Viral Zoonotics (LVZ), Department of Veterinary Medicine, University of Cambridge where you will be supervised by Professor Jonathan Heeney, Head of the LVZ, CEO of DIOSVax and PI of the Innovate UK-funded grant awarded to DIOSVax Ltd. Person Profile
Qualifications and technical skills
- Industry experience or educated to PhD level in a field relevant to bioinformatics
- Proficiency in data handling and databases with experience in R or Python
- Desirable: Experience with big data and data visualisation
- Desirable: A background in the molecular biology of RNA viruses and analysis with computational skills
- Enjoy working collaboratively with a multidisciplinary, international group that values teamwork
- Excellent level of oral and written communication skills
- Resourcefulness and a proactive approach to problem solving
- Excellent organisational and administrative skills
- Ability to work in a fast-paced startup environment, occasionally facing high-pressure challenges or tight deadlines
If this sounds like you and you want to join a passionate, impactful team, send your CV and a cover letter to firstname.lastname@example.org
stating the job title you are applying to.