Apply on Employer Site

Merck · 1 month ago

Associate Scientist, Postdoctoral Fellow - AI in Infectious Disease Modeling

USA - Pennsylvania - West Point

Full-time

Hybrid

New Grad, Entry Level

$75K/yr - $86K/yr

Merck is a leading pharmaceutical company committed to breakthrough innovation in research and discovery. The Postdoctoral Fellow will be part of the vaccine modeling team, focusing on developing health economic models using AI techniques to enhance global health decision-making.

BiotechnologyHealth CareMedicalPharmaceutical

Comp. & Benefits

H1B Sponsored

Responsibilities

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

Qualification

Large language modelsNatural language processingMachine learningPython programmingC++ programmingHealth economic modelingInterdisciplinary researchEnglish proficiencyCreative problem solvingInterpersonal skillsPresentation skillsCommunication skills

Required

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