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Protein Design Lead: Computational Biologist
2 months ago
We are seeking an experienced Computational Protein Design specialist to join our Antigen Design team at Baseimmune. The ideal candidate will have a proven track record in using deep learning methodologies, including generative AI, to design de novo protein structures.
Key Responsibilities:
- Drive the development of computational pipelines that use AI techniques to create proteins for use as vaccine antigens.
- Collaborate with laboratory teams to validate and benchmark newly implemented methodologies using in silico, in vitro and in vivo models.
- Apply computational based pipelines and structural expertise to design proteins presenting target epitopes in desired conformations.
- Collaborate effectively across multi-disciplinary teams, including immunologists, evolutionary biologists, molecular biologists and ML engineers to ensure de novo designs are optimised to elicit cross-protective responses following vaccination.
- Analyse and interpret experimental data to advance the design process.
Strategic Goals:
- Stay up to date with the latest research and developments within the field.
- Critically assess advances in protein engineering and set development directions.
- Mentor and guide junior scientists and team members and create momentum within the team whilst becoming a go-to expert within your technical area.
- Contribute to scientific publications and represent Baseimmune at scientific conferences.
Requirements:
- Ph.D. in Structural Biology, Biophysics, Computational Biology, Biochemistry, or a related field.
- Minimum of 4 years' experience in computational protein design within an academic or industry setting.
- 1-2 years experience in post-doctoral or industry setting.
- Proven track record of successfully designing de novo proteins underpinned by state-of-the-art computational methodologies for biologics purposes.
- Extensive knowledge of statistical and deep learning methods applied to protein design, such as RFdiffusion, MPNN, AlphaFold and Rosetta.
- Experienced programming in Python and Linux command line.
- Strong mathematical skills, problem-solving abilities and strategic thinking.
- Proven track record of scientific innovation and publications in reputable journals.
- Ability to work independently and collaboratively in a fast-paced environment.
What We Offer:
- Competitive starting salary.
- Private medical health insurance.
- Opportunities for career growth and professional development.
- 26 days holiday leave + bank holidays.
- Enhanced sick pay.
- Pension plan.
