Bioinformatics NGS Data Analyst

Job Description

We are seeking a highly motivated contractor with a passion for using high-dimensional single cell immune profiling data in conjunction with innovative computational approaches and systems immunology knowledge to transform vaccine research. Responsibilities will be developing analytical tools used for bulk RNAseq, single cell RNAseq, TCR sequencing, BCR sequencing, and host immune profiling. This role will integrate multi-omics data with preclinical / clinical data and provide scientific insights to immune responses elicited by vaccines or pathogens.

This person will collaborate in cross-functional teams and make strong impact to all stages of vaccine R&D.

• Integrate and analyze multi-omics datasets (transcriptomics, proteomics, metabolomics) to identify biomarkers and molecular signatures relevant to vaccine efficacy and safety.
• Familiar with state-of-art technology related to bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling.
• Leverage public omics databases (GEO, ENCODE, UK Biobank, CELL×GENE) to support hypothesis generation and validation. Provide scientific insights to innate and adaptive immune responses induced by vaccines.
• Handle single-cell data from raw data acquisition to data visualization and data analysis.
• Develop, document, and maintain reproducible computational pipelines and scripts using R and Python.
• Communicate complex data and results clearly to both technical and non-technical stakeholders.
• Collaborate extensively with scientists from other disciplines within the group, other subdivisions of Vaccines R&D, other divisions of Client, and potentially external partners.

• Relevant scientific field with a strong background in computational biology or bioinformatics.
• Extensive experience in analyzing multi-omics data (genetics, bulk RNA‑seq, single‑cell RNA‑seq, spatial omics, proteomics, etc.) for biomedical research.
• Experience in biomarker discovery, particularly in the context of vaccine or immunology research.
• Familiarity with public omics databases and data repositories.
• Familiarity with Linux environments, high-performance computing and / or cloud computing environment, and broad experience with open-source bioinformatics tools to generate immunological insight.
• Strong communication and collaboration skills with the ability to work effectively in a hybrid team environment.

• Extensive hands‑on experience generating immunological insight from single-cell sequencing data.
• Knowledge of machine learning techniques applied to biological data.
• Familiarity with artificial intelligence‑powered multimodal foundation models such as scGPT, UCE, sc Foundation, Mal-.
• Strong organizational skills and attention to detail in managing multiple projects and deadlines.
• Ability to document code thoroughly to ensure reproducibility and clarity for collaborative projects.

• Integrate and analyze multi-omics datasets (transcriptomics, proteomics, and metabolomics) to identify biomarkers and molecular signatures relevant to vaccine efficacy and safety.
• Familiar with state-of-art technology related to bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling.
• Leverage public omics databases (GEO, ENCODE, UK Biobank, CELL×GENE) to support hypothesis generation and validation; provide scientific insights to innate and adaptive immune responses induced by vaccines.

Key

Skills:

X Single Cell, BCR, TCR, Bioinformatics, Computational Biology, Data Science, Next Generation Sequencing (NGS), Transcriptomics, Immunology, Vaccines, Proteomics, Genomics.

We are an equal opportunity employer and affirm compliance with all applicable EEO laws.