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Sr Research Associate Protein Therapeutics

United States - California - Foster CityResearchRegular

Job Description

The Molecular Assessment group within the Protein Therapeutics department is looking for a talented and motivated senior research associate to join our team. For this laboratory-based role, the successful candidate will be mainly responsible for generating high quality molecular assessment data for a variety of early-stage biologics candidates using analytical methods. If you are passionate about developing new biologics and eager to grow and learn in an exciting and fast-paced environment, we encourage you to apply for this job.

Key responsibility

  • Conduct analytical and biophysical characterization (SEC, CE-SDS, cIEF, DSF, DLS, BVP ELISA, AC-SINS, and PSP etc.) for biologics including antibodies, bispecifics, Fc-fusions, and antibody drug conjugates.
  • Interpret large data sets, organize, and present molecular assessment data to project teams to guide drug candidate selection and optimization.
  • Optimize and develop analytical methods for novel biologics characterization. Write and updated SOPs as needed.
  • Document experiments and findings following company policy.
  • Proactively maintain and troubleshoot instruments.
  • Maintain familiarity with the relevant scientific literature.

Required Education and Experience

  • B.S with 2+years or M.S. with 0+ years of relevant experience but prefer B.S. with 4+years and M.S. with 2+years of experience.
  • Hands-on experience with biophysical techniques and instrumentations such as SEC, CE-SDS, cIEF, DSF, and DLS.
  • Demonstrate basic understanding of biologics developability and purification process
  • Ability to work in a fast-paced team environment, meet deadlines, and prioritize work from multiple projects.
  • Excellent written and oral communication skills and can work both independently and collaboratively.

Preferred Experience

  • Experience with AC-SINS, BVP ELISA, and PSP assays.
  • Experience with ADC analytics.
  • Experience with protein structure modeling.
  • Experience with lab automation
  • Experience with data analytics/visualization tools.