Principal Scientist, Computational Protein Design

ABOUT PIONEERING INTELLIGENCE

Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond.

Pioneering Intelligence is a strategic initiative of Flagship Pioneering committed to positioning Flagship at the forefront of global prosperity through the synthesis of human, machine, and nature’s intelligence -- which we call Polyintelligence. Pioneering Intelligence is seeking a Principal Scientist – Computational Protein Design to serve as the technical lead on computational antibody design efforts pushing the forefront of AI-based antibody design approaches on high value targets. This position will be in collaboration with Pioneering Medicines, Flagship Pioneering’s initiative building a world-class biopharmaceutical R&D capability harnessing the power of Flagship’s scientific platforms.

As Principal Scientist – Computational Protein Design, you will lead technical development in computational antibody design and developability optimization, playing a pivotal role in advancing our AI-based design methods to build new foundational workflows for end-to-end antibody design, and apply those workflows to advance new medicines in collaboration with Pioneering Medicines. The ideal candidate will combine strong scientific and computational know-how with proficiency in working within highly matrixed, cross-functional team environments. Join us to shape the future of cutting-edge antibody therapeutics across Flagship’s portfolio of technology platforms.

• Design and optimize antibodies using AI-based and structure-based approaches for binding and functionality.
• Create and apply computational methods for assessing and optimizing developability (stability, solubility, manufacturability, immunogenicity, polyreactivity, polyspecificity).
• Improve AI models with experimentally generated data.
• Stay at the forefront of AI and computational tools in antibody engineering.
• Provide scientific leadership and mentor team members.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• PhD in Biochemistry, Structural Biology, Biophysics, Protein Engineering, Computational Biology, Computer Science, or related field with 5+ years of relevant industry experience.
• Proven experience in the end-to-end design and optimization of antibodies for binding, functionality, and developability.
• Strong track record in utilizing AI and computational methods for antibody engineering, including but not limited to AI-based co-folding models and design models, and related structure-based design tools.
• Experience analyzing and interpreting antibody developability data.
• Experience leading projects in antibody discovery or biologics development.

Preferred Qualifications

• Expertise in a breadth of antibody modalities, including mAbs, bispecifics or multispecifics, antibody-drug conjugates (ADCs), and antibody fragments.
• Experience developing and training novel AI and machine learning models for protein engineering utilizing deep learning architectures.

ABOUT FLAGSHIP PIONEERING:

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $179,000 - $236,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Pioneering Intelligence currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Intelligence’s good faith estimate as of the date of publication and may be modified in the future.

#LI-MB1