Senior Principal Scientist, AI/ML for Drug Discovery and Development - Data Sciences Analytics & Insights, Data Sciences
Johnson & Johnson Services, Inc.
About the role
About
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function
Data Analytics & Computational Sciences
Job Sub Function
Data Science
Job Category
Scientific/Technology
Locations
- New Brunswick, New Jersey, United States of America
- Spring House, Pennsylvania, United States of America
Job Description
J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first‑in‑class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/
Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist - AI/ML to help advance AI/ML for Drug Discovery and Development. The primary location for this position is USA (Spring House PA, New Brunswick NJ, Titusville NJ).
At Johnson & Johnson Innovative Medicine, we are working to create a world without disease—transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it.
The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Senior Principal Scientist who will work at the intersection of AI/ML and Life Science.
Key Responsibilities
- Design, develop, and deploy state-of-the-art AI/ML models for applications including multi-modal and multi-omics predictive and generative biology, molecular property and risk prediction, drug repurposing and safety translation, generative molecule design and manufacturability prediction, and AI-driven causal analysis and experimental design. Requires in-depth modelling expertise to innovate at the frontier of multimodal AI for biology and design rather than simply applying existing methods. Work closely with a cross‑disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications.
- Manage and mentor junior scientists and lead/manage project initiation and execution.
- Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams.
- Extensive hands‑on coding and actively contribute to platform development.
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision‑making findings through peer‑reviewed publications and/or scientific conferences.
Qualifications
- Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field, with at least four years of post‑graduate experience.
- Strong background in artificial intelligence / machine learning with an established track record (publication in top‑tier conferences/journals e.g. ICML, ICLR, AAAI, NeurIPS, CVPR etc., awards, patents, white papers).
- Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow.
- Extensive experience with one or more AI/ML fields including Generative Modeling/Geometric Deep Learning/Computer Vision/LLM/Bayesian Optimization / Bayesian Deep Learning / Causal AI etc.
- Extensive experience and familiarity with drug discovery and clinical development processes.
- Demonstrated proficiency in working with Foundation Models and Generative Modeling techniques.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Hands‑on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus.
Training Opportunities
- Gain experience working in the pharmaceutical industry.
- Navigate and work within a matrix environment.
- Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications.
Equal Opportunity Employer Statement
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.
Accommodation Statement
Johnson and 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, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
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
Pay Range
- Anticipated base pay range: $137,000.00 - $235,750.00
Additional Compensation & Benefits
- Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- This position is eligible to participate in the Company’s long‑term incentive program.
Time Off Benefits
- Vacation – 120 hours per calendar year
- Sick time – 40 hours per calendar year; for employees who reside in the State of Colorado – 48 hours per calendar year; for employees who reside in the State of Washington – 56 hours per calendar year
- Holiday pay, including Floating Holidays – 13 days per calendar year
- Work, Personal and Family Time – up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52‑week rolling period (10 days)
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time‑Off – 80 hours per calendar year
Tags
#LI‑GR
#LI‑Hybrid
#JRDDS
#JNJDataScience
#JRD
Requirements
- Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field, with at least four years of post-graduate experience.
- Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals e.g. ICML, ICLR, AAAI, NeurIPS, CVPR etc, awards, patents, white papers)
- Proficiency with one or more programming languages such as Python or C++.
- Proficiency in one or more AI frameworks such as PyTorch or Tensorflow
- Extensive experience with one or more AI/ML fields including Generative Modeling/Geometric Deep Learning/Computer Vision/LLM/Bayesian Optimization / Bayesian Deep Learning / Causal AI etc
- Extensive experience and familiarity with drug discovery and clinical development processes
- Demonstrated proficiency in working with Foundation Models and Generative Modeling techniques
- Excellent written and verbal communication skills
- Ability to work independently and as part of a team
Responsibilities
- Design, develop, and deploy state-of-the-art AI/ML models for applications including multi-modal and multi-omics predictive and generative biology, molecular property and risk prediction, drug repurposing and safety translation, generative molecule design and manufacturability prediction, and AI-driven causal analysis and experimental design.
- Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications
- Manage and mentor junior scientists and lead/manage project initiation and execution
- Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams
- Extensive hands-on coding and actively contribute to platform development
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences
Benefits
Skills
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