Post Doc- Large Language Models for Trial Operations

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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

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 applica...