Scientist/Sr. Scientist, Bioinformatics Data
About The Position
Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ. We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. 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.
Requirements
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
- 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).
- A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
- Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
- Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
- Creative, innovative and excellent communication and presentation skills.
Nice To Haves
- Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
Responsibilities
- 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.
- Design, optimize, and maintain robust, scalable bioinformatics pipelines.
- Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
- Procure and integrate existing biological databases with internal datasets.
- Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
- Collaborate with IT and other functional groups.
Benefits
- Medical, dental, and vision insurance
- 401(k) retirement plan with a company match that vests fully on day one
- Eight (8) weeks of paid parental leave after just three (3) months of employment
- Paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays
- Flexible spending and health savings accounts
- Life and AD&D insurance
- Short- and long-term disability coverage
- Legal assistance
- Supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance
- Commuter benefits
- Family planning and care resources
- Well-being initiatives
- Peer-to-peer recognition programs
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
