Post Doc LLM for Clinical Trials

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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 withclinical 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.

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The anticipated base pay range for this position is :

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