Job Description
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.
Responsibilities include but are not limited to:
Reporting under a Senior Director within the Vaccines team within HEDS, the fellow is expected to:
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, and
Disseminate key research findings/methodology via scientific presentations at congresses and publications in scientific journals.
Education Minimum Requirement:
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.
Required Experience and Skills:
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, and
Ability to communicate effectively in English in both verbal and written formats.
Preferred Experience and Skills:
Experience in prompt engineering, fine-tuning, or evaluating large language models, and
Previous experience of health economic modeling and cost-effectiveness analysis for infectious disease.
postdoctoralopportunities
Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected salary range:
$75,000.00-$86,000.00
Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here.
Required Skills:
Adaptability, Computer Science, Data Analysis, Generative AI, Global Health, Health Economics, Infectious Disease, Information Technology Consulting, Interdisciplinary Research, Large Language Models (LLMs), Natural Language Processing (NLP), Programming Languages, Prompt Engineering, Report Writing, Scientific Presentations, Scientific Writing, Statistical Analysis, Synthetic Chemistry
Preferred Skills:
Current Employees apply
Current Contingent Workers apply
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
08/15/2026
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