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Associate Scientist, Postdoctoral Fellow – AI in Infectious Disease Modeling
· Job Posted April 27, 2026
Job offer has expired
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Job Description
Be a part of the legacy: Postdoctoral Research Fellow Program Our Research Laboratories’ Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery. Position Overview: This position is in the vaccine modeling team of the Health Economic and Decision Sciences (HEDS) department withing Biostatistics and Research Decision Sciences (BARDS) at our Research Laboratories. BARDS HEDS provides strategic and analytic modeling expertise to measure and quantify the value of our company’s products. As part of an agile team, the fellow will develop and support a seamless mechanism of coordination and collaboration in a dynamic area of interdisciplinary research. Collaboration with modeling scientists, data scientists, IT partners, subject matter experts and strategically leveraging generative AI to automate model extraction and facilitate rapid, intelligent adaptation across diverse settings, this project will profoundly enhance model transparency, dramatically accelerate deployment, and improve consistency in global health decision-making. This innovative approach promises to transform the efficiency and impact of health economic evaluations in infectious disease preparedness and response. At BARDS, we value diversity and inclusion in our working environment where employees are enabled to develop and contribute.
Job Responsibility
Build a robust corpus of health economic infectious disease models using AI-assisted systematic review techniques
Utilize advanced LLMs to precisely extract infectious disease model type, structure (states, transitions), and parameters (costs, utilities, probabilities)
Implement an intelligent AI reasoning layer to evaluate consistency, completeness, and scientific validity across extracted models
Employ generative AI to propose new model structures, dynamically guided by disease-specific needs and prior evidence
Apply the developed pipeline to critical case studies (e.g., RSV vaccine modeling) and rigorously compare AI-generated models with existing approaches
Develop excellent working relationships within partner across our Research Laboratories
ensure effective cross-functional collaboration across teams
Collaborate externally and solicit input from appropriate stakeholders and adopt latest techniques from relevant published literature
Disseminate key research findings/methodology via scientific presentations at congresses and publications in scientific journals
Requirements
Candidates should currently hold a PhD OR will receive a PhD by start of employment in Computer Science, Mathematics, Statistics, or a closely-related quantitative field
Previous experience with large language models (LLMs), natural language processing (NLP), or machine learning
Strong programming skills in Python and/or C++, with experience in model fitting, simulation, and data extraction workflows
Previous experience working on interdisciplinary research projects and/or working within interdisciplinary teams
Ability to gather, organize, and synthesize complex information in order to draw conclusions and make recommendations
Strong creative problem solving skills
Strong interpersonal, networking, presentation, and communication skills
Ability to communicate effectively in English in both verbal and written formats
Nice to have
Experience in prompt engineering, fine-tuning, or evaluating large language models
Previous experience of health economic modeling and cost-effectiveness analysis for infectious disease