Senior Scientist - Antibody Discovery

Job Description

Role Overview

This is a unique opportunity to join an Antibody Discovery team working with cutting-edge technologies to help shape the delivery of next-generation antibody therapeutics.

This is an excellent opportunity to join a dynamic and thriving team of scientists helping to develop and validate new sequence-based and structure-based antibody design approaches. This includes elements of antibody hit identification, sequence optimization, and in silico de novo antibody design. This is a laboratory-based role where a detailed knowledge of molecular biology and microbiological methods, and a proven track record of antibody discovery or protein engineering would be a significant advantage.

Responsibilities

• Play a key role in the discovery of therapeutic monoclonal antibodies to support the pipeline and help create value for patients suffering from serious diseases.
• Use cutting-edge yeast display for the discovery and optimization of human antibodies aligned with therapeutic targets.
• Design, construct, and perform selections using bespoke synthetic display libraries to support in silico de novo antibody discovery and optimization projects.
• Prepare next-generation sequencing (NGS) libraries and analyze them to support antibody discovery and engineering of lead molecules.
• Work closely with computational and CADD scientists to co-develop and apply AI/Deep learning solutions and structure-based approaches to facilitate the discovery and engineering of high-quality antibody molecules.
• Contribute to the development and implementation of new methodologies in antibody display and engineering.
• Work flexibly across project teams to ensure the delivery of results against expected timelines.
• Present experimental data at cross-functional meetings.

Profile

• A PhD (or equivalent) with molecular biology and protein biochemistry knowledge, ideally within the antibody space.
• Knowledge and experience in the use of in vitro display libraries for either discovery, affinity maturation, or other protein engineering, preferably to include structure or deep sequence-guided insight.
• Demonstrable experience of biochemical techniques for the characterization of macromolecules such as flow-cytometry, surface plasmon resonance, or Bio-layer interferometry.
• Skills in informatics and other computational platforms such as molecular visualization and next-generation sequencing data analysis.
• Highly motivated with excellent attention to detail and critical data analysis skills.
• A trusted ability to deliver to deadlines.
• Excellent communication skills.