Senior Scientist, Bioinformatics / Computational Biology
Core
Transform complex human and pathogen datasets into decision-driving insights for antigen design, patient stratification, and translational strategy in vaccine and immune therapy programs.
Role type
Senior Scientist, Bioinformatics / Computational Biology
Builds
Antigen selection strategies, patient stratification models, and reproducible multi-omics analysis pipelines.
Domain
Biopharmaceuticals / Genomics / AI in Healthcare
Deliverable
production ML models | dashboards & analysis
Required skills
Genomic data analysis (NGS, variant calling, assembly), Machine learning & statistical modeling, R and Python (Bioconductor, pandas, scikit-learn), HPC and cloud computing (AWS, SLURM), LLM-powered agentic workflows, Molecular biology fundamentals
Preferred skills
Comparative genomics and phylogenetics, Single-cell RNA-seq analysis, Deep learning frameworks (PyTorch, TensorFlow), Biological foundation models, Agentic AI workflows (RAG, multi-agent systems)
Technologies
STAR, BWA, Bowtie2, Salmon, GATK, DESeq2, Nextflow, Git/GitHub, AWS, GCP
Responsibilities
Design and implement robust analyses across genomics and multi-omics to answer program-critical questions; Apply machine learning to discover biomarkers and predict antigen immunogenicity; Build and maintain reproducible workflows using HPC schedulers and cloud platforms; Design and integrate LLM-powered agentic workflows for literature mining and pipeline orchestration; Generate translational insights through differential expression and pathway enrichment; Pilot new tools in bioinformatics and AI/ML to scale successful methods.
Seniority
Senior, hands-on IC
