Head of Computer-aided Drug Discovery (CADD)

Shanghai Permanent
  • Fast growth biotech start-up company
  • Computational Chemistry

About Our Client

Our client is one of fast growing bio-tech start-up companies with global R&D capability and business.

Job Description

  • Lead and collaborate with other cross-functional project leads in the design and execution of the program strategies and goals
  • Perform protein engineering to drive therapeutic antibody lead selection, design, and optimisation for antibody discovery projects
  • Design and execute synthetic phage libraries for antibody optimisation
  • Design and select fit for purpose antibody format
  • Develop cutting-edge computational tools in protein engineering
  • Coordinate with CROs and monitor outsourcing activities to ensure timely delivery of qualified data to steer portfolios
  • Participate in due diligence to evaluate relevant external opportunities in order to license in assets or technologies.

The Successful Applicant

  • Ph.D. in a biological science, computational chemistry, organic chemistry or medicinal chemistry with a proven track record in computer-aided drug design (CADD)
  • Above 5 years of recent structural biology, computational biology/chemistry, protein engineering, preferably in a biotechnology or pharma setting.
  • A track record of effective protein engineering support of antibody generation and optimisation efforts in drug discovery programs
  • Strong background in structure-based protein analysis and engineering. Experience with computational protein engineering, antibody paratope-epitope modelling, protein engineering to reduce immunogenicity, and next-generation sequencing (NGS) are vital
  • Deep understanding of display technologies and work-flows
  • Expertise of cutting-edge biologic formats including bi- and multi-specific antibodies
  • Molecular biology skills and cell biology assay experience is a plus
  • Experience with cloud or high-performance computing (e.g. AWS, GCP) and AI/ML to model sequence and biological data is highly preferred
  • Solid record of accomplishments and publications as evidence of scientific knowledge
  • The proven ability to learn new techniques, to problem solve, and to have a sustained record of productivity
  • Excellent communication and leadership skills with a deep commitment to working as part of teams and recognising the strengths of everyone on the team

What's on Offer

  • Competitive salary package
  • Good working platform with global mindset
Janet Zhou
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Janet Zhou
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