Evaxion Biotech is using their AI-Immunology™ platform for vaccine discovery and development to cure cancer and infectious diseases. We seek 1-2 student assistants with strong interest in the immunology area to join our research efforts in vaccine discovery & development starting August/September 2024.Evaxion Biotech is a Hørsholm-based TechBio company, discovering and developing ‘best in class’ vaccines for cancer and infectious diseases using cutting edge immunology, bioinformatics, and machine learning methods. The successful candidates will support our preclinical team in the development of new vaccines for indications with high unmet medical need.

Your role

Your main responsibility will be to monitor animals on weekends, assist in conducting experimental tasks on weekdays, primarily in animal studies for vaccine testing. Further, you will assist in processing tissue, analyze tissue samples as well as discuss the findings with project leaders. We estimate the monthly workload to be around 10-20 hours depending on internal need as well as what your own schedule allows.

Key responsibilities

Supporting on experimental in vivo procedures such as vaccine preparation, immunization, tumor measurements or blood sampling
Monitoring animal well-being (mainly on weekends)
Data handling, analysis and reporting

Qualifications

Passed course in Laboratory Animal Science (FELASA) (mandatory)
An understanding of immunological mechanisms is an advantage
Scientific mindset and independent
Systematic, thorough and organized
Proactive, motivated and self-driven

Previous experience in animal research is an advantage but not essential as we have a team of scientists & animal technicians you will work together with who will support and guide the development of the required competences.

Do you think the position sounds interesting and would you like to work in an inspiring, creative and fast-moving biotech environment? Then please apply before the end of September.

Evaxion Biotech A/S jobs

Student assistants for preclinical evaluation of AI-predicted vaccines