Post Doc LLM for Clinical Trials

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 modelin...