Consultant, Oncology Therapeutic Area Expert at Prellis Biologics, Inc.

Consultant, Oncology Therapeutic Area Expert

Berkeley, CA or Remote

The Opportunity

The heart of Prellis Bio strategy is the combination of novel, cutting edge methods in machine learning, biology at scale and next gen antibody discovery that address key bottlenecks in the drug development pipeline. To accomplish that, we are putting together an incredible team of discovery biologists, computational scientists, and protein scientists who want to make a difference to this important problem. In this consultant role, you will help build the oncology therapeutic area through relevant scientific literature, public databases and other sources to evaluate and propose therapeutic targets.

You will report to the CSO and work a hybrid or remote schedule at our headquarters in Berkeley, CA.

Your primary responsibilities will include:

• Support identification, triage and validation of high-value, disease-modifying therapeutic targets in oncology related indications through literature-based evaluations
• Deliver comprehensive primarily scientific deep dives into target biology and clinical opportunities
• Identify opportunities where the Prellis platform is uniquely capable of delivering transformative medicines to patients
• Support the new therapeutics discovery, development and commercial strategy by working closely with the Prellis senior management

You will be working with a well-positioned biotech startup that is very much in formation.  You will work with a very experienced leadership team, learn a broad range of skills, and help shape Prellis Bio's culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About You

• MD or MD/PhD in technical field (oncology) with 10 years of experience in target/drug discovery in industry or academia
• A scientific back and strong publication track record in oncology disease with a focus on large molecule modalities (e.g. antibodies)
• Familiarity with interpreting RNA-seq and protein expression data, translational and preclinical in vitro and in vivo data, and clinical trial results
• Experience in basic research, translational biology and supporting immuno-oncology and/or ADC clinical development
• Communicate effectively and collaborate with people of diverse backgrounds and job functions, including a track record of collaborating with life scientists

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.