Pioneering Intelligence
Principal Scientist, Computational Protein Design
Pioneering Intelligence, Cambridge, Massachusetts, us, 02140
Overview
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 Flagship’s scientific platforms. The role focuses on leading technical development in computational antibody design and developability optimization, advancing AI-based design methods to build end-to-end antibody design workflows and applying them to advance new medicines in collaboration with Pioneering Medicines. The ideal candidate will combine strong scientific and computational expertise with proficiency in working within highly matrixed, cross-functional teams. Join us to shape the future of cutting-edge antibody therapeutics across Flagship’s technology platforms.
Key Responsibilities
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.
Required 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 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
Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Flagship has been recognized on Fortune’s Change the World list and on Fast Company’s World’s Most Innovative Companies list. Learn more at www.flagshippioneering.com.
Equal Employment and Recruitment Notice
Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. At Flagship, we recognize there is no perfect candidate. Experience comes in many forms and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. Recruitment & Staffing Agencies:
Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. Submissions by agencies without a signed agreement will be the property of FSP and no referral fees will be owed.
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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 Flagship’s scientific platforms. The role focuses on leading technical development in computational antibody design and developability optimization, advancing AI-based design methods to build end-to-end antibody design workflows and applying them to advance new medicines in collaboration with Pioneering Medicines. The ideal candidate will combine strong scientific and computational expertise with proficiency in working within highly matrixed, cross-functional teams. Join us to shape the future of cutting-edge antibody therapeutics across Flagship’s technology platforms.
Key Responsibilities
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.
Required 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 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
Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Flagship has been recognized on Fortune’s Change the World list and on Fast Company’s World’s Most Innovative Companies list. Learn more at www.flagshippioneering.com.
Equal Employment and Recruitment Notice
Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. At Flagship, we recognize there is no perfect candidate. Experience comes in many forms and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. Recruitment & Staffing Agencies:
Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. Submissions by agencies without a signed agreement will be the property of FSP and no referral fees will be owed.
#J-18808-Ljbffr