Director, Computational Protein Engineering

Job Description

We are seeking an exceptional computational protein engineer to join the Discovery Biologics Protein Engineering department in South San Francisco to drive the advancement and application of computational antibody and protein designs and optimization in support of our biotherapeutic portfolio drug discovery programs. The Principal Scientist, Computational Protein Engineering role will be a key contributor within the Protein Engineering Center of Excellence and the Discovery Biologics department as well as in project teams and therapy areas. 

We are on a quest for cures and are committed to be the world’s premier, most research-intensive biopharmaceutical company. Our teams combine leading drug discovery capabilities and world-class R&D with the purpose of turning breakthrough science into life-changing medicines.

We recognize that diversity of thought and experiences in our team are our strengths and we are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with our group of scientists to drive our core mission.

What you will do:

• Apply advanced protein structure prediction and modeling techniques to guide antibody and protein design and optimization

• Apply cutting-edge AI/machine learning models to support drug discovery and engineering projects

• Integrate with lab-based engineering workflow for accelerated design, make and test cycles

• Participate in cross-functional biologics programs from discovery to IND to achieve organizational objectives

• Thrive in a high-performance culture of collaboration, engagement, self-accountability, and inclusion

Qualifications:

Education:

• Bachelor's (with 14+ years), Master's (with 10+ years) or Ph.D. (with 6+ years) in computational protein biology, structural biophysics or related disciplines and relevant experience

Required Experience and Skills:

• Demonstrated experience applying computational modeling in protein and antibody drug design and engineering with a track record of key contributions to therapeutic progression

• Strong expertise in antibody and protein structure and physics-based computational tools such as Python, Rosetta, AlphaFold, protein MPNN

• Track record of scientific and technical excellence in computational protein engineering with demonstrated success in delivering optimized protein properties and complex functional designs

• Leadership of projects in protein and antibody therapeutics with strategic guidance to therapeutic programs

• Strong knowledge of antibody and protein therapeutics lab-bench workflows and demonstrated success in partnering with wet lab researchers in hit discovery and optimization

• Strong collaboration skills partner, with openness and agility to synergize with other computational team members within the department and across the organization

• Excellent verbal and written communication and collaboration abilities

• Experience working within a cross-functional and highly matrixed environment

• Ability to nurture, mentor and train scientists with varied levels of computational backgrounds

Preferred Experience and Skills:

• Experience in deep learning and generative modeling methods, AI/ML modeling, MD simulations, and large datasets

• Experience in broad antibody formats such as VHHs, multi-specifics, fusion proteins, and ADCs

#EligibleforERP

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Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for pro