Senior Scientist – Directed Evolution & Protein Design, Large Molecule Disc at Amgen
Burnaby, BC, Canada -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

117814.0

Posted On

15 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Biophysics, Creativity, Design, Chemistry, Protein Design, Molecular Evolution, High Throughput Screening, Structural Biology, Biochemistry, Biological Engineering, Immunogenicity, Communication Skills, Characterization

Industry

Other Industry

Description

BASIC QUALIFICATIONS:

  • Ph.D. in Biochemistry, Chemistry, Chemical and/or Biological Engineering, Biophysics or a related field with 1-3 years industrial or postdoc experience with strong publication record
  • Experience in directed molecular evolution and high-throughput screening and characterization
  • Experience in enzyme library design and in silico protein design
  • Ability to work independently while also collaborating with cross-functional teams
  • Strong organizational, interpersonal, and communication skills
  • Self-driven, creativity, and willingness to work on difficult and high impact problems
  • Commitment to diversity and equity while creating a welcoming and inclusive work environment

PREFERRED QUALIFICATIONS:

  • Understanding of immune biology and immunogenicity
  • Strong background in structural biology and biophysics
  • Application of AI/ML models to protein design and engineering
Responsibilities

Let’s do this. Let’s change the world.
We have an opening for a Senior Scientist on our Discovery Protein Science team that is located at our Amgen British Columbia site. Our team supports Amgen’s therapeutic discovery pipeline through innovations in protein design and generation while working on diverse and complex biological molecules. This role will specifically involve leading our enzyme engineering efforts around discovering novel therapeutics for rare and genetic diseases. Such efforts will entail the use of directed molecular evolution and rational design, including computational approaches. As part of this effort, quantitative structure-function relationships will also be developed and used to enhance our generative AI capabilities for enzyme and protein design. Furthermore, a major focus of this role will include the implementation of computational design to predict and prevent the immunogenicity of enzymes and other proteins. By contributing to these areas, the successful candidate will fill an important gap at the interface between protein design, enzyme engineering, target discovery, and experimental immunology.

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