Johnson & Johnson Innovative Medicine
Principal Scientist, Protein Design - In Silico Protein and Antibody Design
Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania, United States, 19477
Principal Scientist, Protein Design - In Silico Protein and Antibody Design
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Principal Scientist, Protein Design - In Silico Protein and Antibody Design
role at
Johnson & Johnson Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. We develop treatments, find cures, and pioneer the path from lab to life while championing patients every step of the way.
Key Responsibilities
Work directly with wet-lab scientists and therapeutic areas to design and optimize protein molecules for specific functions and properties, with a focus on antibody therapeutics.
Collaborate with team members across Therapeutics Discovery on the planning, prioritization, and timely delivery of designs to support multiple concurrent programs.
Serve as an In Silico Discovery Lead on diverse project teams.
Work with ML colleagues to guide development, benchmarking, and application of pioneering generative and discriminative models.
Model sophisticated biological systems using a variety of methods and tools to advise design methodology.
Participate in internal and external presentations, peer-reviewed manuscripts and conference proceedings.
Qualifications Education
PhD in Biomedical Engineering, Biochemistry, Computational Biology, Computer Science, Structural Biology, Biophysics, Material Science, or other related quantitative field with at least 3 years of experience is required.
Experience And Skills
Advanced experience in computational protein modeling, design, structural biology, and biophysics is required.
Ability to lead projects in cross-functional teams to completion in a collaborative manner is required.
Experience in de novo protein design and sophisticated protein design techniques, such as large-scale backbone editing – for example, fusion design, loop design (inpainting), deletions, and extensions is preferred.
Experience with antibody and/or nanobody modeling and design is preferred.
Experience with high performance computing (on-prem or cloud) is required.
Knowledge of critical wet-lab techniques used in protein engineering such as yeast display, SPR, ITC, CD-spectroscopy is preferred.
Solid understanding of current machine learning architectures is preferred.
Advanced proficiency in Python and related data-science packages such as Pandas and Numpy is required.
Excellent communication, reporting and team interaction skills, self-motivated, proactive, and independent.
Experience using Schrodinger, FoldX, Rosetta, Discovery Studio, MOE, GROMACS, NAMD or other molecular dynamics simulation software is preferred.
Experience with powerful ML packages for protein modeling and design such as AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapred, etc is preferred.
Experience with retraining, fine-tuning, and building ML models such as LLMs to support advanced protein design and protein property prediction tools is preferred.
Experience mentoring and leading junior scientists is strongly preferred.
Desire for continuous learning and the ability to identify, evaluate and deploy emerging algorithms, models, and protein design workflows is required.
Other The preference is for this individual to be located at one of our sites in either Spring House, PA, or Cambridge, MA. Remote work options within the US may be considered on a case-by-case basis and if approved by the company. Travel up to 10% may be required.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via
https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
#J-18808-Ljbffr
Principal Scientist, Protein Design - In Silico Protein and Antibody Design
role at
Johnson & Johnson Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. We develop treatments, find cures, and pioneer the path from lab to life while championing patients every step of the way.
Key Responsibilities
Work directly with wet-lab scientists and therapeutic areas to design and optimize protein molecules for specific functions and properties, with a focus on antibody therapeutics.
Collaborate with team members across Therapeutics Discovery on the planning, prioritization, and timely delivery of designs to support multiple concurrent programs.
Serve as an In Silico Discovery Lead on diverse project teams.
Work with ML colleagues to guide development, benchmarking, and application of pioneering generative and discriminative models.
Model sophisticated biological systems using a variety of methods and tools to advise design methodology.
Participate in internal and external presentations, peer-reviewed manuscripts and conference proceedings.
Qualifications Education
PhD in Biomedical Engineering, Biochemistry, Computational Biology, Computer Science, Structural Biology, Biophysics, Material Science, or other related quantitative field with at least 3 years of experience is required.
Experience And Skills
Advanced experience in computational protein modeling, design, structural biology, and biophysics is required.
Ability to lead projects in cross-functional teams to completion in a collaborative manner is required.
Experience in de novo protein design and sophisticated protein design techniques, such as large-scale backbone editing – for example, fusion design, loop design (inpainting), deletions, and extensions is preferred.
Experience with antibody and/or nanobody modeling and design is preferred.
Experience with high performance computing (on-prem or cloud) is required.
Knowledge of critical wet-lab techniques used in protein engineering such as yeast display, SPR, ITC, CD-spectroscopy is preferred.
Solid understanding of current machine learning architectures is preferred.
Advanced proficiency in Python and related data-science packages such as Pandas and Numpy is required.
Excellent communication, reporting and team interaction skills, self-motivated, proactive, and independent.
Experience using Schrodinger, FoldX, Rosetta, Discovery Studio, MOE, GROMACS, NAMD or other molecular dynamics simulation software is preferred.
Experience with powerful ML packages for protein modeling and design such as AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapred, etc is preferred.
Experience with retraining, fine-tuning, and building ML models such as LLMs to support advanced protein design and protein property prediction tools is preferred.
Experience mentoring and leading junior scientists is strongly preferred.
Desire for continuous learning and the ability to identify, evaluate and deploy emerging algorithms, models, and protein design workflows is required.
Other The preference is for this individual to be located at one of our sites in either Spring House, PA, or Cambridge, MA. Remote work options within the US may be considered on a case-by-case basis and if approved by the company. Travel up to 10% may be required.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via
https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
#J-18808-Ljbffr