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Research Scientist- Protein biochemistry

2 months ago


South San Francisco, United States Software Guidance & Assistance, Inc. (SGA, Inc.) Full time

Software Guidance & Assistance, Inc., (SGA), is searching for a Research Scientist- Protein biochemistry for a contract assignment with one of our premier Pharmaceutical services clients in South San Francisco, CA.


Responsibilities :

We are seeking a highly motivated individual to join the Department of Antibody Engineering at the firm as a Research Scientist. The role will involve designing and conducting hands-on laboratory research as well as data processing and analysis. A significant portion of efforts will involve the experimental characterization of antibodies in efforts to accelerate drug development with machine-learning. The role will also involve close collaboration with computational groups in developing cutting edge in silico antibody design methods.

  • Use of advanced molecular biology techniques for protein production.
  • Coordinate protein expression and purification with other teams at the firm.
  • Protein characterization using high-throughput screening platforms (ELISA, SPR, flow cytometry).
  • Data processing and storage in centralized databases.


Required Skills:

  • Bachelor's degree (BS) or Master's degree (MS) in Biology, Biochemistry, Chemistry, Pharmaceutical Sciences, related discipline.
  • At least 2 years of research experience in protein biochemistry, protein engineering or related field.
  • Demonstrated proficiency with molecular biology techniques.
  • Proficiency in computer operations including scientific data analysis and database entry.
  • Strong organizational and communication skills.
  • Demonstrated ability to work independently and in collaborative settings.
  • Self-driven candidates with a passion for biotechnology innovation and drug development are encouraged to apply.

Preferred Skills:

  • Research experience with antibody-based molecular engineering and relevant datatypes (e.g., surface plasmon resonance data and deep sequencing datasets) is desirable but not essential.



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