Scientist/Sr. Scientist, Bioinformatics Data
Legend Biotech
August 20, 2026
On-site
Somerset, NJ
IT
Role Overview
- Bioinformatics Data Scientist to bridge complex biological datasets and actionable therapeutic insights.
- Design, develop, and execute scalable computational pipelines for high-dimensional genomic data; translate computational findings into narratives for experimental biologists, clinicians, and stakeholders.
Key Responsibilities
- Analyze large-scale genomic and multi-omics datasets (RNA-seq, scRNA-seq, WES/WGS, epigenetic) to identify biomarkers, therapeutic targets, or disease mechanisms.
- Apply statistical, machine learning, and data-mining methods to extract patterns from noisy biological data.
- Perform QC, normalization, and batch correction across heterogeneous datasets.
- Design, optimize, and maintain robust, scalable bioinformatics pipelines.
- Implement version-controlled, reproducible analysis code.
- Integrate existing biological databases with internal datasets.
- Collaborate with IT and cross-functional groups.
Requirements
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
- Proven genomic data handling experience; NGS analysis required.
- Strong AI application experience.
- Advanced R (Bioconductor, Tidyverse) and/or Python (Pandas, NumPy, Scikit-learn).
- Experience with bioinformatics tools (alignment, variant calling, single-cell tools like Seurat/Scanpy).
- Strong plus: cloud (AWS/GCP) and containerization (Docker/Singularity).
- Strong critical thinking/debugging; excellent communication and presentation.
- Ability to manage multiple projects in a fast-paced environment.
Benefits (explicitly stated)
- Medical, dental, vision; 401(k) match (vests day one).
- 8 weeks paid parental leave after 3 months.
- Paid time off (vacation, personal, sick, floating holidays) and 11 company holidays.
- Base pay range: $127,313–$167,099; performance bonus and/or equity (eligible roles).
- Bioinformatics Data Scientist to bridge complex biological datasets and actionable therapeutic insights.
- Design, develop, and execute scalable computational pipelines for high-dimensional genomic data; translate computational findings into narratives for experimental biologists, clinicians, and stakeholders.
Key Responsibilities
- Analyze large-scale genomic and multi-omics datasets (RNA-seq, scRNA-seq, WES/WGS, epigenetic) to identify biomarkers, therapeutic targets, or disease mechanisms.
- Apply statistical, machine learning, and data-mining methods to extract patterns from noisy biological data.
- Perform QC, normalization, and batch correction across heterogeneous datasets.
- Design, optimize, and maintain robust, scalable bioinformatics pipelines.
- Implement version-controlled, reproducible analysis code.
- Integrate existing biological databases with internal datasets.
- Collaborate with IT and cross-functional groups.
Requirements
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
- Proven genomic data handling experience; NGS analysis required.
- Strong AI application experience.
- Advanced R (Bioconductor, Tidyverse) and/or Python (Pandas, NumPy, Scikit-learn).
- Experience with bioinformatics tools (alignment, variant calling, single-cell tools like Seurat/Scanpy).
- Strong plus: cloud (AWS/GCP) and containerization (Docker/Singularity).
- Strong critical thinking/debugging; excellent communication and presentation.
- Ability to manage multiple projects in a fast-paced environment.
Benefits (explicitly stated)
- Medical, dental, vision; 401(k) match (vests day one).
- 8 weeks paid parental leave after 3 months.
- Paid time off (vacation, personal, sick, floating holidays) and 11 company holidays.
- Base pay range: $127,313–$167,099; performance bonus and/or equity (eligible roles).