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Computational Biologist & AI Engineer – Vaccines

Pharmaceutical Company
2 hours ago
Full-time
On-site
Pearl River, New York, United States
Now Hiring: Computational Biologist & AI Engineer – Vaccines Location: Pearl River, NY | Hybrid Duration: 12 months contract

Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.

Education:

Master’s or Ph.D. in Computational Biology, Bioinformatics, Computer Science, AI/ML, Data Science, Immunology, or a related field

We are seeking a

Computational Biologist & AI Engineer

to support cutting-edge vaccine research through

multi-omics analysis, computational immunology, and AI-enabled research workflows .

Key Responsibilities • Analyze and integrate multi-omics datasets including

bulk RNA-seq, single-cell RNA-seq, TCR/BCR sequencing, proteomics, metabolomics, and immune profiling • Identify

biomarkers and molecular signatures

associated with vaccine response, efficacy, and safety • Develop computational workflows for biological and immune-response analysis • Design and implement

AI-agent solutions

to help researchers search, integrate, analyze, and interpret complex biological datasets • Build

LLM/RAG, knowledge systems, APIs, and data pipelines

connecting biological datasets, scientific literature, and research workflows • Collaborate with computational biologists, data scientists, and software engineers to develop scalable research solutions

Required Qualifications • Master’s or Ph.D. in a relevant quantitative/scientific discipline • Experience with

multi-omics and biomedical datasets • Strong experience with

RNA-seq and/or single-cell sequencing analysis • Experience with

biomarker discovery, immune-response analysis, or systems immunology • Strong

Python

programming skills • Excellent communication and cross-functional collaboration skills

Preferred Qualifications • Vaccine, infectious disease, or immunology research experience • xsgimln Hands-on experience generating insights from

single-cell sequencing data • Experience with

AI/ML, LLMs, RAG, agentic AI, or multi-agent systems • Experience building

LLM-based applications or autonomous research assistants • Experience with APIs, cloud platforms, databases, knowledge graphs, and bioinformatics pipelines • Familiarity with modern AI development frameworks and reproducible software practices

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