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ICONMA, LLC Research Associate I in United States

Research Associate I Location: South San Francisco, CA Duration: 6 Months Description: The Position We are seeking a highly motivated individual to join the Department of Antibody Engineering at Genentech 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. Responsibilities Use of advanced molecular biology techniques for protein production Coordinate protein expression and purification with other teams at Client Protein characterization using high-throughput screening platforms (ELISA, SPR, flow cytometry) Data processing and storage in centralized databases Requirements. The successful candidate will have: 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 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. Self-driven candidates with a passion for biotechnology innovation and drug development are encouraged to apply. As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

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