Johnson & Johnson Innovative Medicine
Senior Principal Scientist, Protein Design - In Silico Protein and Antibody Desi
Johnson & Johnson Innovative Medicine, Cambridge, Massachusetts, us, 02140
Senior Principal Scientist, Protein Design – In Silico Protein and Antibody Design
Johnson & Johnson Innovative Medicine invites applications for the Senior Principal Scientist, Protein Design – In Silico Protein and Antibody Design role.
We are looking for a visionary scientist to join our In Silico Proteins team within the Therapeutics Discovery organization, with a preference for campus sites in Spring House, PA, or Cambridge, MA (remote work may be considered on a case‑by‑case basis).
Job Overview In this role you will spearhead molecular design and simulation initiatives, accelerating the discovery and development of protein‑based therapeutics across modalities and indications.
You will build, evaluate, and refine advanced computational approaches and infrastructures to support experimental validation and clinical translation.
Key Responsibilities
Work directly with wet‑lab scientists and therapeutic areas to design and optimize protein molecules for specific functions and properties, focusing 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 machine‑learning colleagues to develop and benchmark 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 a related quantitative field with at least 5 years of experience.
Experience And Skills
Advanced experience in computational protein modeling, design, structural biology, and biophysics.
Leadership experience in cross‑functional teams, guiding projects to completion.
Expertise in de‑novo protein design and sophisticated protein design techniques (e.g., large‑scale backbone editing, fusion design, loop design via inpainting, deletions, extensions).
Experience with antibody and/or nanobody modeling and design.
Experience with high‑performance computing (on‑prem or cloud).
Solid understanding of critical wet‑lab techniques used in protein engineering such as yeast display, SPR, ITC, CD‑spectroscopy.
Advanced proficiency in Python and related data‑science packages (Pandas, NumPy).
Strong communication, reporting, and team interaction skills; self‑motivated, proactive, and independent.
Experience with powerful ML packages for protein modeling and design (AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapred, etc.).
Experience with retraining, fine‑tuning, and building ML models such as LLMs to support protein design and property prediction.
Experience mentoring and leading junior scientists.
Desire for continuous learning and the ability to evaluate and deploy emerging algorithms, models, and workflows.
Preferred Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Preferred Location / Remote The preference is for the candidate to be located at one of our sites in either Spring House, PA, or Cambridge, MA.
Remote work options within the U.S. may be considered on a case‑by‑case basis and if approved by the company.
Travel up to 10% may be required.
Equal Opportunity Employment 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.
Compensation and Benefits
Anticipated base pay range: $137,000 – $235,750.
Eligible for an annual performance bonus based on company and individual performance.
Company‑sponsored benefits: medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, group legal insurance, and a consolidated retirement plan (401(k)).
Paid time off: up to 120 hours of vacation per calendar year; up to 40 hours of sick time per calendar year; holiday pay, including floating holidays, up to 13 days per calendar year; Work, Personal and Family Time up to 40 hours per calendar year.
Additional information available at https://www.careers.jnj.com/employee-benefits.
Benefits Summary (U.S. Applicants)
Vacation: up to 120 hours per calendar year.
Sick time: up to 40 hours per calendar year.
Holiday pay, including floating holidays: up to 13 days per calendar year.
Work, Personal and Family Time: up to 40 hours per calendar year.
Additional Information For accommodation requests or interview process adaptations for individuals with a disability, please contact us via
https://www.jnj.com/contact-us/careers
(external applicants) or internal employees should contact AskGS.
The compensation and benefits information set forth in this posting applies to candidates hired in the United States; candidates hired outside the United States will receive local market compensation and benefits.
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We are looking for a visionary scientist to join our In Silico Proteins team within the Therapeutics Discovery organization, with a preference for campus sites in Spring House, PA, or Cambridge, MA (remote work may be considered on a case‑by‑case basis).
Job Overview In this role you will spearhead molecular design and simulation initiatives, accelerating the discovery and development of protein‑based therapeutics across modalities and indications.
You will build, evaluate, and refine advanced computational approaches and infrastructures to support experimental validation and clinical translation.
Key Responsibilities
Work directly with wet‑lab scientists and therapeutic areas to design and optimize protein molecules for specific functions and properties, focusing 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 machine‑learning colleagues to develop and benchmark 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 a related quantitative field with at least 5 years of experience.
Experience And Skills
Advanced experience in computational protein modeling, design, structural biology, and biophysics.
Leadership experience in cross‑functional teams, guiding projects to completion.
Expertise in de‑novo protein design and sophisticated protein design techniques (e.g., large‑scale backbone editing, fusion design, loop design via inpainting, deletions, extensions).
Experience with antibody and/or nanobody modeling and design.
Experience with high‑performance computing (on‑prem or cloud).
Solid understanding of critical wet‑lab techniques used in protein engineering such as yeast display, SPR, ITC, CD‑spectroscopy.
Advanced proficiency in Python and related data‑science packages (Pandas, NumPy).
Strong communication, reporting, and team interaction skills; self‑motivated, proactive, and independent.
Experience with powerful ML packages for protein modeling and design (AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapred, etc.).
Experience with retraining, fine‑tuning, and building ML models such as LLMs to support protein design and property prediction.
Experience mentoring and leading junior scientists.
Desire for continuous learning and the ability to evaluate and deploy emerging algorithms, models, and workflows.
Preferred Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Preferred Location / Remote The preference is for the candidate to be located at one of our sites in either Spring House, PA, or Cambridge, MA.
Remote work options within the U.S. may be considered on a case‑by‑case basis and if approved by the company.
Travel up to 10% may be required.
Equal Opportunity Employment 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.
Compensation and Benefits
Anticipated base pay range: $137,000 – $235,750.
Eligible for an annual performance bonus based on company and individual performance.
Company‑sponsored benefits: medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, group legal insurance, and a consolidated retirement plan (401(k)).
Paid time off: up to 120 hours of vacation per calendar year; up to 40 hours of sick time per calendar year; holiday pay, including floating holidays, up to 13 days per calendar year; Work, Personal and Family Time up to 40 hours per calendar year.
Additional information available at https://www.careers.jnj.com/employee-benefits.
Benefits Summary (U.S. Applicants)
Vacation: up to 120 hours per calendar year.
Sick time: up to 40 hours per calendar year.
Holiday pay, including floating holidays: up to 13 days per calendar year.
Work, Personal and Family Time: up to 40 hours per calendar year.
Additional Information For accommodation requests or interview process adaptations for individuals with a disability, please contact us via
https://www.jnj.com/contact-us/careers
(external applicants) or internal employees should contact AskGS.
The compensation and benefits information set forth in this posting applies to candidates hired in the United States; candidates hired outside the United States will receive local market compensation and benefits.
#J-18808-Ljbffr