Post Doctoral Researcher – AI Reasoning and Problem Solving @ Johnson & Johnson | Jobright.ai
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Johnson & Johnson · 2 days ago

Post Doctoral Researcher – AI Reasoning and Problem Solving

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Health CareMedical Device
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Responsibilities

Partner with research colleagues to develop, validate, and apply groundbreaking LLM-based methodologies to automate the planning and execution of solutions for scientific research challenges.
Connect agents to multi-modal sources of data at scale - including unstructured text, structured tables, and images.
Serve as a domain expert within the field by articulating to team members emerging approaches and methodologies within the AI domain (e.g. causal inferencing, reinforcement learning, attention models, etc.) with a clear understanding of their practical applications within the industry.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/MLNatural Language InferencingReinforcement LearningLarge Language ModelsPythonTensorFlowPyTorchHugging FaceStatisticsCloud SolutionsGraph PlatformsBiology Background

Required

A Ph.D. degree in AI/ML or a related field (ex. computational linguistics, computer science, machine learning, applied mathematics) obtained within the last 2 years or to be completed within the next 3 months is required.
Proficiency in sophisticated AI methodologies (e.g. reinforcement learning, natural language inferencing, recurrent neural networks, attention models, information theory, etc.) is required.
Proficiency in LLM foundation models and agent frameworks (e.g. LangGraph, DSPy) and core programming frameworks (e.g. TensorFlow, PyTorch, Hugging Face) is required.
Expert proficiency in one or more programming languages, preferably Python, is required.
Proven track record in relevant domain backed by publications in credible journals and conferences is required.
Ability to continuously learn and acquire new knowledge and skills within industry setting is required.
Ability to optimally communicate technical work to a wide and diverse audience is required.
Ability to work both independently and in a diverse, multi-disciplinary team is required.

Preferred

Background in biology or related field and/or experience with biomedical literature or data is preferred.
Strong understanding of statistics and applicable methods to validate developed methodologies is preferred.
Familiarity with cloud solutions (ex. AWS and/or Azure) and graph platforms (ex. Neptune, Neo4J) is preferred.

Benefits

Medical
Dental
Vision
Life insurance
Short- and long-term disability
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 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

Company

Johnson & Johnson

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Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.

H1B Sponsorship

Johnson & Johnson has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (43)
2022 (55)
2021 (40)
2020 (30)

Funding

Current Stage
Public Company
Total Funding
unknown
1944-09-24IPO· nyse:JNJ

Leadership Team

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Alex Gorsky
Chairman & CEO
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Joaquin Duato
Chairman of the Board & CEO
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Company data provided by crunchbase
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