Postdoc: Immunogenicity AI/ML for Biologics (Bonus+Benefits)

Merck; West Point (PA); On-site; USD 82,000 - 92,000; Full time

Job summary

Merck & Co., Inc. in the United States invites applications for a two-year Postdoctoral Fellow position in Computational Toxicology to advance AI/ML and structure-based approaches for immunogenicity prediction in biologics and peptides.

The role emphasizes publication, mentorship, and collaboration across teams and external partners. You will develop next-generation computational methods, curate diverse datasets, and deliver reproducible code and models for translational safety assessment, with

Qualifications

• PhD in computational immunology, computational biology, computational chemistry, structural biology, bioinformatics, or a closely related field.

Responsibilities

• Curate, integrate, and harmonize biological, structural, and clinical datasets from public and internal sources into reproducible analysis workflows.
• Develop computational methods for immunogenicity prediction by integrating sequence, structural, and experimental data.
• Apply structure-based modeling and simulation approaches to characterize biomolecular interactions and conformational behavior relevant to immune recognition.
• Build and benchmark multimodal machine-learning models that combine sequence, structural, and tabular data into robust, calibrated predictors.
• Evaluate model performance against established approaches and assess generalizability across therapeutic modalities.
• Contribute to first-author manuscripts and scientific presentations at internal forums and external conferences.
• Collaborate with computational, biology, and experimental scientists, and deliver reproducible, well-documented code, analyses, and models.

Skills

AlphaFold2/Boltz2

Molecular dynamics

Python

PyTorch

Immunology basics

HPC / GPU computing

First-author publications

Education

PhD in computational immunology/biology/chemistry/structural biology or related

Tools

Git

Jupyter

Job description

Merck & Co., Inc. in the United States invites applications for a two-year Postdoctoral Fellow position in Computational Toxicology to advance AI/ML and structure-based approaches for immunogenicity prediction in biologics and peptides.

The role emphasizes publication, mentorship, and collaboration across teams and external partners. You will develop next-generation computational methods, curate diverse datasets, and deliver reproducible code and models for translational safety assessment, with