POST DOCTORAL RESEARCHER – AI REASONING AND PROBLEM SOLVING

Johnson & Johnson Innovative Medicine (JJIM) is recruiting for the role of Post Doctoral Researcher – AI Reasoning and Problem Solving.
The preferred location for this role includes Spring House, PA; Titusville, NJ; La Jolla, CA; or Cambridge, MA.
Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.
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 https://www.
nj.
om/.
For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day.
Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world.
Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges.
We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve.
Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential.
At Johnson & Johnson, we all belong.
The Data Science Analytics & Insights team is actively searching for a highly motivated and visionary post-doctoral researcher, with a primary research focus on Artificial Intelligence (AI) reasoning, problem solving, and natural language inferencing.
We are particularly interested in candidates who possess a strong background in mathematics and a deep passion for making a meaningful impact through their work.
In this role, you will play a crucial part in devising innovative Artificial Intelligence/Machine Learning (AI/ML) algorithms to extract valuable insights from vast structured and unstructured knowledge.
Your contributions will involve developing sophisticated large language model (LLM) agents that excel in solving complex problems spanning areas across the pharmaceutical lifecycle.
Key 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.
.
causal inferencing, reinforcement learning, attention models, etc.) with a clear understanding of their practical applications within the industry.
Qualifications A Ph.
.
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.
.
reinforcement learning, natural language inferencing, recurrent neural networks, attention models, information theory, etc.) is required.
Proficiency in LLM foundation models and agent frameworks (e.
.
LangGraph, DSPy) and core programming frameworks (e.
.
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.
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.
Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.
The anticipated base pay for this position is $ to .
The 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.
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 corporation’s performance over a calendar/performance year.
Bonuses are awarded at the Company’s 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 Company’s 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; 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 For additional general information on Company benefits, please go to.
- https://www.
areers.
nj.
om/employee-benefits.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.
areers.
nj.
om.
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areers.
nj.
om/data-science #LI-SL #JNJDataScience #JNJIMRND-DS #JNJPostDoc-DS #JRDDS IND7