Jobs · Analyst · California

Senior Scientist - Experimental Protein Design for Target Discovery

BioSpace · South San Francisco, CA · 1 wk ago
AnalystFull-time

Key Responsibilities

  • Translate computational protein designs into experimentally testable minibinders and antibodies across multiple targets in parallel.
  • Lead high-throughput workflows for binder expression, purification, and characterization, including development of cellular assays for bindertarget evaluation.
  • Partner with molecular biology teams to establish construct generation and binder library production workflows, enabling both individual binder characterization and scalable pooled library screening.
  • Develop strategies to format de novo binders into appropriate modalities (e.g., multispecifics) to enable testing of biological hypotheses.
  • Analyze and interpret experimental data to guide iterative design-build-test cycles.

Basic Qualifications

  • Doctorate degree PhD
  • OR PharmD
  • OR MD [and relevant post-doc experience on Protein Engineering]
  • OR Masters degree and 3 years of Protein Engineering experience
  • OR Bachelors degree and 5 years of Protein Engineering experience

Preferred Qualifications

  • Ph.D. in Biochemistry, Protein Engineering, Bioengineering, Structural Biology, or a related field plus relevant postdoctoral experience.
  • Demonstrated experience in the expression, purification, and biochemical or biophysical characterization of engineered proteins, such as antibodies, minibinders, or other designed scaffolds in a high-throughput or library-based manner. Experience with different expression hosts (cell-free expression, E. coli, and mammalian) is a plus.
  • Experience in binder hit validation using flow cytometry and SPR, and in developing cellular-based assays for functional characterization.
  • Experience working with designed binders or proteinprotein interaction engineering, with working knowledge of protein structurefunction relationships.
  • Experience and interest in collaborating with computational protein design teams and translating in silico designs into experimentally testable reagents.
  • Experience with automation platforms and high-throughput experimentation is a plus.
  • Experience supporting phenotypic screening, receptor biology, or early target characterization is a plus.
  • Strong organizational and communication skills, with the ability to work effectively in cross-functional discovery teams.

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