Scientist, Protein Engineering

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Scientist, Protein Engineering reports to Chief Scientific Officer and bears responsibility for structure- guided in silico protein-optimization projects using molecular-modeling and simulation software.

Responsibilities

  • Performs research and feasibility studies into proposed protein-engineering projects.
  • Designs expression constructs for antibody and protein production.
  • Participates in the development of plans, schedules and costs of assigned projects/programs.
  • Liaises with laboratory personnel and CRO staff to follow-up on the protein expression and screening for biophysical and bioactivity of the engineered molecules.
  • Prepares reports on assigned projects for internal and external use, makes presentations to team and contributes to technical journals.
  • Participates in the preparation of patents and publications.
  • Checks, organizes, analyzes and reports data produced. Prepares reports, documents and dossiers.
  • Fosters effective and collaborative working relationships with fellow employees, management and external partners.

Qualifications and Experience

  • PhD in a scientific discipline (Biochemistry, Immunology, Molecular or Cellular Biology or related field), and a minimum of 5 years’ related experience (may include post-doctoral experience) or an equivalent combination of education and experience.
  • Proven interpersonal skills with the ability to work collaboratively as a member of a cross- functional team.
  • Understanding of protein chemistry and experience in rational protein design and engineering.
  • Experience with molecular model building, simulation and visualizing packages (e.g. AMBER, CCP4, COOT)
  • Meticulous organization, record keeping and reporting.
  • Good analytical and problem solving skills, incorporating integrity in all decision making.
  • Ability to manage concurrent deliverables and work effectively in a challenging, milestone-driven environment.
  • Effective oral and technical/scientific writing skills. Previous experience presenting scientific data to internal audiences.