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, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:About Innovative MedicineOur 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 https://www.jnj.com/innovative-medicine
Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for the role of "Principal Scientist
- AI-Reasoning for Drug Discovery".
The primary location for this role is Spring House, PA.
Other possible locations are:
- Horsham, Pennsylvania,
- Cambridge, Massachusetts,
- New Brunswick, Raritan or Titusville, New Jersey
J&J IM develops treatments that improve the health and well-being of people worldwide. Research and development areas encompass oncology, cardiovascular and retina disorders, immunology, and neuroscience. Our goal is to help people live longer and 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 J&J IM, please visit https://www.jnj.com/.
The DDSAI-OCMO team is seeking a visionary Principal Scientist to architect an AI-Reasoning platform to support
Translational Safety decision making in drug discovery and development. You'll pioneer the development of innovative reasoning platform that scientists can access through Large Language Models (LLMs) and agentic systems, harnessing Multimodal Scientific data across Discovery, Preclinical, Clinical, and RWE domains, harnessing large scale datasets spanning scientific literature, omics, biomolecular knowledge, and manufacturing processes to fundamentally transform how we bring therapeutics to patients. Your innovations in areas such as multimodal reasoning, agent adaptability and uncertainty, memory architecture, and motivation frameworks will directly compress discovery timelines and accelerate promising therapeutics from hypothesis to clinical trials.
Key Responsibilities:- Pioneer breakthrough multimodal AI systems that synthesize scientific data into actionable scientific insights which accelerate drug discovery
- Architect next-generation agent memory systems that establish how AI retains knowledge and makes context-aware decisions, creating persistent intelligence that evolves across the entire discovery-to-development pipeline
- Define the future of AI reliability in R&D by orchestrating groundbreaking research in uncertainty quantification and establishing new standards for trustworthy AI-driven scientific reasoning
- Shape the scientific vision as an inspiring leader, translating emerging AI/ML frontiers into transformative applications while mentoring teams to push the boundaries of what's possible in computational drug discovery
- Drive scientific validation and impact by rigorously benchmarking AI agents against top human experts and state-of-the-art methods, with the opportunity to publish paradigm-shifting findings in premier venues.
Required qualifications: - Ph.D. in AI/ML or related fields (computer science, machine learning, data science, applied mathematics, statistics) with 2+ years of proven experience
- Deep expertise in sophisticated mathematical frameworks including Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, and related methodologies that advance the field of agentic reasoning
- Proficiency with agentic frameworks (LangGraph, DSPy, mem0) and deep learning platforms (PyTorch, TensorFlow), and extend these tools for novel scientific applications
- Exceptional Python programming skills, capable of architecting scalable solutions that bridge innovation and production deployment
- The ability to lead small teams of researchers to achieve success in their work.
Preferred ("nice-to-have") qualifications: - Understanding of drug discovery pipeline and familiarity with biological data types
- Strong understanding of statistics and applicable methods to validate model performance
- Familiarity with cloud hosting solutions (ex. AWS and/or Azure)
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Required Skills:Preferred Skills:Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis
The anticipated base pay range for this position is :$117,000.00 - $201,250.00
Additional Description for Pay Transparency:
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)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following 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 period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
