Description
We are seeking an enthusiastic and self-motivated antibody discovery associate scientist to join our Large Molecule Research team within GSK's Research Technologies group. The role will be lab-centric and involve working in a team with access to world-leading in vitro, in vivo, and AI-driven in silico antibody discovery platforms.
The successful candidate will be involved in the integration of yeast-based or phage display platforms with in silico design approaches, and will be responsible for optimising antibodies into therapeutic grade leads towards the ultimate goal of generating first-in-class and best-in-class antibody-based medicines.
Key responsibilities:
- Train and develop skills within the exciting field of antibody/protein discovery and engineering
- Design and execute experiments towards the identification and optimisation of antibodies and proteins
- Primarily use yeast-based, but also phage-display, selection technologies, combined with in silico design tools
- Potentially combine other approaches such as in vivo antibody discovery, B-cell sorting, and NGS
- Design individual antibodies or antibody 'libraries' tailored towards improving certain therapeutic properties
- Represent the 'home team' within matrix groups working towards developing therapeutic antibodies to a variety of 'targets' across a broad spectrum of diseases
- Prepare and perform verbal and written scientific communications
Essential qualifications and skills:
- BSc/MSc in life sciences or equivalent
- Experience studying or researching aspects of biopharmaceutical drug discovery or antibody discovery methods
- Some experience of lab-based molecular biology techniques
- Proactive, and an ability to adapt quickly to new scientific areas
- Good analytical and data interpretation skills with the ability to troubleshoot
- An ability to deploy the use of AI tools to enhance scientific or other work
- Good scientific writing & verbal communication skills
- Ability to work effectively both as an individual and within a team
- Ability to multitask and work across multiple projects simultaneously
Preferred qualifications and skills:
- Direct hands-on experience of antibody display and/or directed evolution and associated protein engineering techniques
- Experience of using AI-based tools for an antibody/protein application