Computational Biologist

Key Responsibilities: • Integrate and analyze multi-omics datasets, including transcriptomics, proteomics, metabolomics, single-cell profiling, and immune repertoire data, to identify biomarkers and molecular signatures relevant to vaccine response, efficacy, and safety.• Demonstrate strong familiarity with state-of-the-art methods and tools for bulk RNA-seq, single-cell RNA-seq, TCR profiling, BCR profiling, and immune profiling data analysis.• Design AI-agent solutions that help researchers explore, query, integrate, analyze, and generate insights from multi-omics datasets and related scientific knowledge.• Build data pipelines and knowledge systems that allow AI agents to retrieve, summarize, connect, and reason across biological datasets, metadata, research workflows, and scientific literature.• Develop interfaces and APIs to support interaction with internal databases, cloud storage, bioinformatics pipelines, and external scientific resources.• Collaborate with computational biologists, data scientists, and software engineers to translate research needs into scalable AI solutions.

Required Qualifications: • Master’s degree or Ph. D. in computational biology, bioinformatics, computer science, AI/ML, data science, immunology, or a related quantitative scientific field.• Experience analyzing multi-omics datasets for biomedical or vaccine research, such as genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, immune repertoire profiling, proteomics, or related data types.• Experience with biomarker discovery, immune-response analysis, or systems immunology, preferably in the context of vaccine, infectious disease, or immunology research.• Strong communication and collaboration skills with the ability to work effectively in a hybrid team environment.

Preferred Qualifications: • Hands-on experience generating immunological insights from single-cell sequencing data is highly desirable.• Expertise in artificial intelligence, large language models, retrieval-augmented generation, agentic AI workflows, or multi-agent system architecture is highly desirable.• Experience building LLM-based applications, multi-agent AI systems, agent orchestration workflows, or autonomous research assistants. Strong software engineering skills in Python and modern AI development frameworks are preferred.• Ability to document code thoroughly to ensure reproducibility and clarity for collaborative projects.