Research Associate II, Antibody Engineering
NGM Bio is a biopharmaceutical company focused on discovering and developing novel, life-changing medicines for people whose health and lives have been disrupted by disease. The company’s biology-centric drug discovery approach aims to seamlessly integrate interrogation of complex disease-associated biology and protein engineering expertise to unlock proprietary insights that are leveraged to generate promising product candidates and enable their rapid advancement into proof-of-concept studies. As explorers on the frontier of life-changing science, NGM Bio aspires to operate one of the most productive research and development engines in the biopharmaceutical industry. All therapeutic candidates in the NGM Bio pipeline have been generated by its in-house discovery engine, always led by biology and motivated by unmet patient need. In addition to a healthy balance sheet and cash runway, the company currently has four programs in active clinical development. Visit us at www.ngmbio.com for more information.
NGM is currently offering a unique opportunity for a motivated Research Associate II. This role is perfect for a junior scientist who is excited to put their molecular biology research skills to work as part of our drug discovery process. Our team is focused on the discovery and lead-optimization of antibodies for novel therapeutic targets. This role will assist in the development of novel technologies to improve our in-vitro selection and protein engineering capabilities. An ideal candidate will be a BS graduate in the life sciences with previous experience in state-of-the-art molecular biology techniques. You should be an enthusiastic learner, a meticulous experimentalist, and a passionate investigator.
- Use PCR, DNA purification, restriction cloning, and reverse transcription PCR methodologies to discover therapeutic antibodies by phage, ribosome and/or yeast display, and B-cell cloning.
- Analyze the diversity of selection outputs via NGS and Sanger sequencing.
- Screen for antibodies interactions and specificity using immunoassays, like ELISA and Octet.
- Transfect mammalian cells for small scale expression and purification of selected antibodies.
- Collaborate and work with a diverse group of scientists across all functional groups within the research organization
- Interpret, record and present complex biological data.
- Keep an organized laboratory notebook and contribute to technical reports.
Education, Experience, and Skills Required:
- Education: Bachelor’s or Master’s degree in relevant scientific discipline. Preference of 2 years of industry experience. Candidates will be considered for the following levels using this rubric:
- Research Associate I: completion of a Bachelor’s Degree
- Research Associate II: completion of a Master’s Degree, or a Bachelor’s degree and 2 years of work experience
- Experience working in a molecular biology research lab
- Curiosity & willingness to develop new skills
- Precise and detail-oriented working style
- Experience with state-of-the-art molecular biology methods
- Ability to critically analyze your own data using Excel and Graphpad Prism
- Ability to communicate your research methods and results.
- Hands on antibody discovery experience using phage display.
- Experience in using the 10x genomics single cell platform.
- Industry experiences in NGS library prep and analysis
- Immune repertoire sequencing analysis.
- Adept in using bioinformatics tool for NGS analysis.
Position is based at NGM Bio’s South San Francisco office location with expectation for regular on-site presence.
NGM Biopharmaceuticals fosters diversity and inclusion in the workplace and actively encourages applications from women and underrepresented minorities.
At the time of posting, the wage range for this role at the Research Associate I level is $69,000 to $89,000 and Research Associate II level is $87,400 to $113,100 per year for candidates located in the Bay Area. For applicants outside of the Bay Area, the pay range may adjust according to geographic compensation data.