Bioinformatics Analyst III

Company : Katalyst Healthcares & Life Sciences

Job Description:

We are seeking a highly motivated and collaborative Bioinformatics Scientist to support oncology drug discovery programs through advanced computational analysis and biological interpretation of large-scale omics datasets. The successful candidate will partner closely with discovery teams to derive biological insights from NGS and multi-omics data, contribute to experimental design, and enable data-driven decision-making across early- and late-stage programs.

Responsibilities:

• Support oncology research by analysing high-throughput omics data, including RNAseq, WES, and other NGS platforms.
• Query public and internal cancer genomics resources to assess mutation/expression distributions and clinical relevance.
• Integrate and interpret internal datasets (e.g., transcriptomics, proteomics, single-cell, spatial omics) to uncover mechanisms of disease and therapeutic response.
• Communicate analytical findings and recommendations effectively to cross-functional teams with diverse scientific backgrounds.
• Collaborate with experimental and discovery scientists to optimize study designs and identify computational opportunities.
• Develop and maintain reproducible bioinformatics workflows and pipelines.
• Leverage cloud (AWS) and/or HPC infrastructure for scalable data analysis.
• Stay current with emerging technologies and data repositories to enhance data interpretation.

Requirements:

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Cancer Biology, or related field; OR.
• Master's degree with 1 3 years of relevant industry experience; OR.
• Bachelor's degree with 6 8 years of relevant experience.
• Demonstrated oncology background, preferably with exposure to immuno-oncology, immunology, or cancer genomics.
• Hands-on experience with NGS data analysis (e.g., RNAseq, WES), from raw data processing to downstream interpretation.
• Proficiency in R (including ggplot2); competence in Python is preferred.
• Experience working in Linux environments and using HPC clusters or cloud platforms (AWS).
• Strong data visualization and presentation skills.
• Excellent written and verbal communication skills.
• Strong team orientation and ability to work in cross-functional settings.
• Experience with single-cell RNA-seq, spatial omics, CRISPR screens, or proteomics data.
• Familiarity with public data repositories such as TCGA, GTEx, GEO, ENA/EBI, and GDC.
• Prior industry experience in pharmaceutical or biotech settings.
• Experience supporting drug discovery programs from early to late stages.

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