Bioinformatics NGS Data Analyst

Description

 Position Summary

• 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 transforming 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 a cross-functional teams and make strong impact to all stages of vaccine R&D.

Key Responsibilities:

• Integrate and analyze multi-omics datasets (e.g., 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 (e.g., GEO, ENCODE, UK Biobank, CELL×GENE) to support hypothesis generation and validation. Provides scientific insights to innate and adaptive immune responses induced by vaccines.
• Ability to 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 those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Client, and potentially from external partners.

Required Qualifications:

• Ph.D. in a relevant scientific field with a strong background in computational biology or bioinformatics.
• Extensive experience in analyzing multi-omics data (e.g., 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.
• Familiar 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.

Preferred Qualifications:

• Extensive hand-on experience generating immunological insight from single cell sequencing data is highly desirable.
• Knowledge of machine learning techniques applied to biological data.
• Familiarity with artificial intelligence-empowered multimodal foundation models such as scGPT, UCE, scFoundation, Mal-ID
• 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.

Hard Skills:

• Integrate and analyze multi-omics datasets (e.g., 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 (e.g., GEO, ENCODE, UK Biobank, CELL×GENE) to support hypothesis generation and validation. Provides scientific insights to innate and adaptive immune responses induced by vaccines.

Skill:

• 10X Single Cell, BCR TCR, Bioinformatics, Computational biology, data science, Next Generation Sequencing (NGS), transcriptomics, immunology, Vaccines, proteomics, and Genomics.