Director/Sr. Director, Oncology

Prellis Biologics • Berkeley, CA

331d • Hybrid

About The Position

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 leadership role, you will help build the oncology therapeutic area (TA), hire and manage staff. You will report to the CSO and work a hybrid schedule at our headquarters in Berkeley, CA.

Requirements

• PhD in oncology with 10 years of experience in target/drug discovery in industry or academia
• A scientific track record in oncology disease with a focus on large molecule (e.g. antibody) modalities
• Familiarity with interpreting RNA-seq and protein expression data, translational and preclinical in vitro and in vivo data, and clinical trial results
• Demonstrated track record in building partnerships or collaborations with data scientists or computational biologists, engineers and experimental biologists
• Experience in basic research, translational biology and supporting immuno-oncology and/or ADC clinical development
• Contribution to the preparation of patents, documentation for IND filings, and publications
• Experience leading a high-performance team, including goal setting, and contributing to a culture of high-quality methods development and reducing those methods to a practical implementation
• Communicate effectively and collaborate with people of diverse backgrounds and job functions, including a track record of collaborating with life scientists
• Passion for making a difference in the world

Responsibilities

• Contribute to Prellis Bio strategy in oncology addressable by large molecule or complex modalities
• Work cross-functionally as a project team lead to design experiments, high-throughput experimental assays and machine learning models to help deconvolute these biologies
• Support identification and validation of high-value, disease-modifying therapeutic targets through literature-based evaluations
• Lead efforts and partner with our statistical genetics and machine learning teams to follow up on these targets with the goal of producing viable therapeutic interventions
• Move with the project as it moves into the clinic and provide clinical support and work closely with our clinical groups and chief medical officer
• Lead external collaborations with partners and with other organizations and individuals in efforts related to the oncology area

Benefits

• A competitive employee benefits package, including group medical, dental and vision coverage, life and disability insurance, flexible spending accounts and a 401(k) plan
• Stock-based long term incentives
• Bonus plan
• Holiday package including a 1+ week winter shutdown
• Flexible work models, including remote and hybrid working arrangements, where possible

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree