Bioinformatics Scientist

Responsibilities

• Support oncology drug discovery and development efforts through computational and data-driven approaches.
• Analyze and integrate multi-modal omics datasets to generate meaningful biological insights.
• Develop and apply innovative bioinformatics approaches when standard analytical methods are not sufficient.
• Identify, process, and analyze publicly available and internally generated datasets using statistical and bioinformatics techniques.
• Collaborate with biologists and scientific teams to address research questions and advance drug discovery programs.
• Identify and apply emerging technologies in data science and bioinformatics.
• Stay current with scientific literature and emerging methodologies in computational biology and cancer research.
• Interpret, document, and present analytical results to biologists and scientific collaborators.
• Maintain high standards of scientific integrity, data quality, and reproducibility.
• Ensure FAIR data practices, clear documentation, and reproducible analytical workflows.

Qualifications

• PhD in Bioinformatics, Computational Biology, Biology, Biostatistics, Data Science, or a related field.
• Python and R programming experience for bioinformatics data analysis.
• Unix/Linux experience.
• Experience analyzing bulk and single-cell NGS data.
• High-performance computing (HPC) experience.
• Biological pathway analysis experience.
• Strong understanding of bioinformatics, computational biology, and statistical analysis.
• Oncology or immunology experience (Preferred).
• Experience with spatial transcriptomics, methylation, or liquid biopsy data analysis (Preferred).
• Experience with public oncology datasets such as TCGA, GTEx, Human Cell Atlas, CZ CELLxGENE, or Human Tumor Atlas Network (Preferred).