Johnson & Johnson, Post Doc LLM for Clinical Trials - Application via WayUp

This role is with Johnson & Johnson. WayUp is partnering with Johnson & Johnson to hire top talent.

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

• Job Function: Career Programs
• Job Sub Function: Post Doc – Data Analytics & Computational Sciences
• Job Category: Career Program
• All Job Posting Locations: Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
  
  

Job Description: We are searching for the best talent for a Postdoctoral Researcher position in Data Analytics & Computational Sciences focused on leveraging advanced technologies, including Large Language Models (LLMs), Generative Pre-trained Transformers (GPT), and Retrieval-Augmented Generation (RAG), to enhance clinical trial protocol design. Position Overview:

You will contribute to innovative projects aimed at improving the design and execution of clinical trials through the application of cutting-edge data analytics and machine learning techniques. You will have opportunities for individual development tailored to your professional goals while continuing to build your expertise in the field of computational sciences. Key Responsibilities:

• Apply LLMs and GPT technologies to streamline and enhance the extraction of key features from clinical trial protocols, including disease, drug, eligibility criteria, and endpoints.
• Utilize RAG techniques to improve the retrieval of relevant information from existing clinical trial data, facilitating optimized protocol design.
• Develop predictive models using advanced machine learning techniques to assess trial feasibility, timeline estimates, and operational efficiency based on protocol content.
• Proven experience in data processing and engineering, with the ability to design, build, and maintain efficient data pipelines that facilitate effective data utilization, as well as the creation, curation, and maintenance of key datasets.
• Collaborate with multidisciplinary teams to integrate data-driven insights into the protocol design process, ensuring that the complexities of clinical trials are adequately addressed.
• Design and implement innovative tools and frameworks for protocol enhancement, incorporating feedback from end-users to iteratively improve processes and outcomes.
  
  

Qualifications / Requirements:

• Ph. D. in Data Analytics, Computational Sciences, Biomedical Informatics, or a related field.
• Strong background in machine learning, natural language processing, and data modeling.
• Experience with large language models (LLMs), GPT, and RAG technologies and their applications in healthcare or clinical research.
• Experience in statistical modeling and analysis, including methods such as regression, time series analysis, or Bayesian modeling.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively in a multidisciplinary team environment.
  
  

Programming Requirements:

• Proficiency in programming languages such as Python and R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Experience with database management and querying languages (e.g., SQL).
• Understanding of version control systems (e.g., Git) for collaborative coding.
  
  

Desired Skills:

• Familiarity with clinical trial design, phases, and regulatory requirements and clinical trial operational metrics.
• Understanding of statistical analysis in clinical trials, including concepts such as hypothesis testing, p-values, confidence intervals, and common statistical tests used in trial data analysis.
• Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $77,000 to $124,200.
  
  

_Additional Description for Pay Transparency:_ 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)).