Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for the role of Post Doctoral Researcher, AI Reasoning and Natural Language Understanding within our Data Science Analytics & Insights Team.

The primary preferred location for this position is Titusville, NJ. Other possible locations include Spring House, PA; San Diego, CA; Cambridge, MA; Beerse, Belgium; and High Wycombe, UK. (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.jnj.com/.

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 researcher, with a primary research focus on Artificial Intelligence (AI) reasoning and natural language understanding (NLU) for this 2-year Post Doctoral Researcher position. We are particularly interested in candidates who possess a deep passion for making a meaningful impact through their work. In this role, you will play a crucial part in devising innovative data science methodologies to extract valuable insights from vast biomolecular knowledge. Your contributions will involve developing advanced large language model (LLM) agents that excel in solving complex challenges spanning various therapeutic areas.

Key Responsibilities:

• Partner with research colleagues to build compelling decision-making agents by extracting and synthesizing knowledge to make insights actionable.
• Develop, validate, and apply groundbreaking LLM-based methodologies to automate the planning and execution of solutions for scientific challenges in support of efforts across drug development lifecycle.
• 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/NLU (e.g. causal reasoning, intent classification, etc.) with a clear understanding of their practical applications within the industry.

Qualifications

• A Ph.D. degree in AI/NLU or a related field (ex. computational linguistics, computer science, machine learning, data science, applied mathematics, statistics) obtained within the last year or to be completed within the next month is required.
• Proven track record in relevant domain (ex. text mining, graph analytics, machine learning) backed by publications in credible journals and conferences is required.
• Experience with at least three of the following capabilities is required; natural language inference, named entity recognition, ontology mapping, graph data structures, graph analytics, etc.
• Proficiency in one or more programming languages – preferably Python and/or R, is required.
• Proficiency with basic and sophisticated NLP techniques (e.g. word2vec, RNNs, transformer neural networks, BERT), LLM foundation models and agent frameworks (e.g. GPT, LangChain, DSPy) and development tools (e.g. TensorFlow, PyTorch, Hugging Face, spaCy, NLTK) are 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 $95,000.

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.careers.jnj.com/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.careers.jnj.com.

This job posting is anticipated to close on 07/05/2024.

The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications. https://www.careers.jnj.com/data-science

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