Scientist/Sr. Scientist, Bioinformatics Data

Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).

Ability to turn raw biological data into structured insights.

Strong experience with AI application in data science.

Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).

Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).

Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.

$127,313

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$167,099 USD

Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.

In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights.

You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data.The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges.

Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.

Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.

Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.

Perform quality control, normalization, and batch-correction across heterogeneous datasets.

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