Senior Principal Scientist, Protein Design In Silico Protein and Antibody Design

Johnson & Johnson

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profile Job Location:

Spring House, PA - USA

profile Monthly Salary: $ 137000 - 235750
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge Massachusetts United States of America Spring House Pennsylvania United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.

Learn more at & Johnson Innovative Medicine is currently seeking a Senior Principal Scientist Protein Design to join our In Silico Proteins team within the Therapeutics Discovery organization with a preference for this individual to be located at one of our sites in Spring House PA or Cambridge MA. Remote work options may be considered on a case-by-case basis.

This role presents an exciting opportunity to spearhead our molecular design and simulation initiatives supporting and accelerating our drug discovery and development pipeline of protein-based therapeutics while collaborating with a passionate team of scientists and engineers. Your work will be pivotal in building evaluating refining and applying sophisticated computational approaches and infrastructures. Your efforts will drive the discovery of complex molecules and expedite the development of protein therapeutics across various modalities and indications.

Key Responsibilities:

You will work closely with colleagues across the organization to design develop and deliver on differentiated best in class therapeutic molecules for a range of clinical indications spanning all therapeutic areas. Qualified candidates will have a strong background in computational biology and a proven track record of seeing designs through experimental testing.

  • 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 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 other related quantitative field with at least 5 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 required.
  • Experience with antibody and/or nanobody modeling and design is required
  • 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 required.
  • Solid understanding of current machine learning architectures is required.
  • 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 with powerful ML packages for protein modeling and design such as AlphaFold RosettaFold ESMFold ProteinMPNN RFDiffusion Chroma IgFold DeepAb Parapred etc is required.
  • Experience with retraining fine-tuning and building ML models such as LLMs to support advanced protein design and protein property prediction tools is required.
  • Experience mentoring and leading junior scientists is strongly required.
  • 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 internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $137000 to $235750. The Company maintains highly competitive performance-based compensation programs. Under current guidelines this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporations performance over a calendar/performance year. Bonuses are awarded at the Companys discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance. Employees may be eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
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 of Work Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

#LI-SL
#JNJDataScience
#JNJIMRND-DS
#LI-Remote

Required Skills:

Preferred Skills:

Advanced Analytics Consulting Critical Thinking Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Digital Fluency Econometric Models Mentorship Strategic Thinking Tactical Planning Technical Credibility

Required Experience:

Staff IC

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are unique...
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Key Skills

  • Machine Learning
  • Python
  • Data Science
  • AI
  • R
  • Research Experience
  • Sensors
  • Drug Discovery
  • Research & Development
  • Natural Language Processing
  • Data Analysis Skills
  • Toxicology Experience

About Company

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About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more

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