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Antibody Discovery and Engineering Scientist

SRG
Posted 16 hours ago, valid for a month
Location

Slough, Berkshire SL13XX, England

Contract type

Part Time

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Sonic Summary

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  • The position is for an Antibody Discovery and Engineering Scientist at a Global Biopharmaceutical company in Slough, offered on a 12-month contract.
  • The salary ranges from £28.53 PAYE to £38.84 Umbrella per hour.
  • Candidates are required to have a PhD (or equivalent) with expertise in molecular biology and protein biochemistry, ideally within the antibody field.
  • Experience with in vitro display libraries and biochemical techniques for macromolecule characterization is preferred.
  • The role involves using advanced techniques for antibody discovery and engineering, collaborating with computational scientists, and presenting data at cross-functional meetings.

Job Title: Antibody Discovery and Engineering Scientist - Global Biopharmaceutical

Contract: 12-month contract

Location: Slough

Salary: £28.53 PAYE/£38.84 Umbrella

SRG are working with a Global Biopharmaceutical company to help them find a Antibody Discovery and Engineering Scientist to join their busy team.

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 optimisation 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.

Key Responsibilities will include:

  • Play a key role in the discovery of therapeutic monoclonal antibodies to support the pipeline and help create value for patients suffering with serious disease.
  • Using cutting-edge yeast display for the discovery and optimisation 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 optimisation projects.
  • The preparation of next generation sequencing (NGS) libraries and their analyses to support antibody discovery and engineering of lead molecules.
  • Working closely with computational and CADD scientists, co-develop and apply AI/Deep learning solutions and structure-based approaches to facilitate 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 delivery of results against expected timelines.
  • Present experimental data at cross-functional meetings

Candidate Requirements:

  • 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 would be desirable.
  • Demonstrable experience of biochemical techniques for the characterisation of macromolecules such as flow-cytometry, surface plasmon resonance or Bio-layer interferometry would be beneficial.
  • Skills in informatic and other computational platforms such as molecular visualisation and next generation sequencing data analysis would be advantageous.
  • Highly motivated with excellent attention to detail and critical data analysis skills.
  • A trusted ability to deliver to deadlines.
  • Excellent communication skills.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.