4 дня назад
Principal Scientist – AI-Reasoning for Drug Discovery
117 000 - 201 250$
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Описание вакансии
Текст:
TL;DR
Principal Scientist – AI-Reasoning for Drug Discovery (AI/Multimodal Scientific Data): Architecting AI-reasoning platforms and multimodal agentic systems for translational safety decision-making across the drug discovery and development pipeline with an accent on uncertainty quantification, agent memory, and scientific data integration. Focus on benchmarking AI agents against human experts, building trustworthy reasoning systems, and leading research that accelerates therapeutics from hypothesis to clinical trials.
Location: Hybrid role based primarily in Spring House, Pennsylvania, United States, with possible locations in Horsham, Pennsylvania; Cambridge, Massachusetts; and New Brunswick, Raritan, or Titusville, New Jersey.
Salary: $117,000–$201,250 base pay per year.
Company
Johnson & Johnson Innovative Medicine develops treatments across oncology, cardiovascular and retina disorders, immunology, and neuroscience.
What you will do
- Architect an AI-reasoning platform supporting translational safety decisions in drug discovery and development.
- Develop multimodal AI systems that synthesize scientific literature, omics, biomolecular, clinical, real-world evidence, and manufacturing data into actionable insights.
- Design agent memory systems that retain knowledge and support context-aware decisions across the discovery-to-development pipeline.
- Advance uncertainty quantification and trustworthy AI-driven scientific reasoning for research and development.
- Lead scientific validation by benchmarking AI agents against human experts and state-of-the-art methods, with opportunities to publish research.
- Mentor small teams of researchers and translate emerging AI/ML methods into computational drug discovery applications.
Requirements
- Ph.D. in AI/ML or a related field, with at least 2 years of proven experience.
- Expertise in Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, and related mathematical methods.
- Experience with agentic frameworks including LangGraph, DSPy, and mem0, and deep learning platforms such as PyTorch and TensorFlow.
- Exceptional Python programming skills for scalable solutions and production deployment.
- Ability to lead small teams of researchers.
Nice to have
- Understanding of drug discovery pipelines and biological data types.
- Strong statistical knowledge for model-performance validation.
- Familiarity with AWS and/or Azure.
Culture & Benefits
- Inclusive work environment focused on healthcare innovation and patient impact.
- Retirement pension and 401(k) savings plans, subject to plan terms.
- Paid vacation, sick time, holidays, parental leave, caregiver leave, bereavement leave, volunteer leave, and other time-off benefits.
- Interview accommodations are available for applicants with disabilities.
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