RA-Sr. RA-Antibody Discovery

Prellis Biologics uses proprietary technology to 3D print lymph node organoids, which we are using to generate invitrohumanlymphnodecoculturesfor generating antigen-specific B-cells.We are seeking a Research Associate – Senior Research Associate, Antibody Discovery to join our Antibody Discovery team. In this role you will be supporting high-throughput antibody discovery efforts, particularly using single B-cell approaches. The ideal candidate will have a strong background in molecular biology, with significant experience in supporting end-to-end antibody discovery campaigns.

Key Responsibilities:

• Perform high-throughput cellular biology techniques, including but not limited to, cell culture, Flow Cytometry, Fluorescence-activated cell sorting (FACS), and ELISPOT.
• Operate cell sorters and analyzers and perform routine maintenance.
• Maintain primary cell co-cultures using aseptic techniques.
• Help troubleshoot and contribute to protocol optimization for enhanced efficiency and increased throughput.
• Assist in the development and optimization of automation protocols for improved efficiency in molecular and cellular assays.
• Collaborate with cross-functional teams, providing technical support for various projects requiring automated workflows.
• Maintain accurate records of experiments, analyze data, and present results in team meetings.

Qualifications:

• B.S in Molecular Biology, Immunology, Biotechnology, or related life science field with 4+ years of experience, or M.S. with 2+ years of relevant experience.
• Strong proficiency in maintaining primary cell co-culture systems.
• Ideal candidates have prior experience in Flow Cytometry workflows, single cell sorting for sequencing, and experience with FlowJo or comparable analysis software.
• Ideal candidates will have prior experience in single B-cell antibody discovery workflows with an end goal of identifying novel therapeutic candidates.
• Ideal candidates will have prior experience with operating SONY MA900 cell sorters and MACSQuant analyzers.
• Ideal candidates thrive in a production environment and exhibit strong attention to detail and excellent documentation skills.
• Strong organizational and time management skills to contribute to multiple projects in a fast-paced environment.
• Excellent communication skills and ability to present experimental results.

About Prellis Biologics

At Prellis we integrate human biology with machine learning. We aim to revolutionized drug discovery by harnessing the power of human immune system with tightly, integrated machine learning to develop next-generation antibody therapeutics with unparalleled speed, precision and safety. We are committed to empowering our pharmaceutical partners with access to the most promising fully human body candidate rapidly identified from the human immune repertoire, enabling them to bring life-changing treatments to patients faster than ever before.

Prellis Biologics is a pre-IPO biotech located in Berkeley CA with a team-oriented, inclusive, and family-friendly culture. Our growing pipeline target high unmet patient needs across therapeutics including metabolic, inflammation, and oncology disease. Prellis has raised funding from top investors, including Celesta, Khosla Ventures, SOSV, & Avidity Partners.

Application deadline

Prellis does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Prellis Bio is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.