Sr. Scientist, Bioinformatics Data

Legend Biotech
Location
Somerset, New Jersey
Job Type
Full-time
Posted
September 24, 2026
Views
229
Salary Range
Up to $127k USD

Job Description

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life-threatening diseases. Headquartered in Bridgewater, New Jersey, we are advancing the next generation of cell therapy through a portfolio of innovative technologies, including autologous, allogeneic, and in vivo cell therapy approaches. Our research spans chimeric antigen receptor T-cell (CAR-T), T-cell receptor (TCR-T), natural killer (NK) cell-based therapies, and other emerging platforms designed to transform the treatment of serious diseases. From our global network of research and development sites, we are committed to discovering and developing safe, effective, and cutting-edge therapies for patients worldwide.

Legend Biotech entered into a global collaboration agreement with Johnson & Johnson to jointly develop and commercialize CARVYKTI® (ciltacabtagene autoleucel; cilta-cel). Through this strategic partnership, we combine complementary expertise and capabilities to advance innovative immunotherapies for patients living with multiple myeloma.

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.

Role Overview

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.

Key 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.

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).

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

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.

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life-threatening diseases. Headquartered in Bridgewater, New Jersey, we are advancing the next generation of cell therapy through a portfolio of innovative technologies, including autologous, allogeneic, and in vivo cell therapy approaches. Our research spans chimeric antigen receptor T-cell (CAR-T), T-cell receptor (TCR-T), natural killer (NK) cell-based therapies, and other emerging platforms designed to transform the treatment of serious diseases. From our global network of research and development sites, we are committed to discovering and developing safe, effective, and cutting-edge therapies for patients worldwide.

Legend Biotech entered into a global collaboration agreement with Johnson & Johnson to jointly develop and commercialize CARVYKTI® (ciltacabtagene autoleucel; cilta-cel). Through this strategic partnership, we combine complementary expertise and capabilities to advance innovative immunotherapies for patients living with multiple myeloma.

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.

Role Overview

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.

Key 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.

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).

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

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.

This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.

#Li-JR1

#Li-Hybrid

The base pay range below is what Legend Biotech USA Inc. reasonably expects to offer at the time of posting. Actual compensation may vary based on experience, skills, qualifications, and geographic location. The company reserves the right to modify this range as needed and in accordance with applicable laws.

Other Types of Pay: Performance-based bonus and/or equity is available to employees in eligible roles.

Benefits and Paid Time Off: Medical, dental, and vision insurance as well as a 401(k) retirement plan with a company match that vests fully on day one. We offer eight (8) weeks of paid parental leave after just three (3) months of employment, and a paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays. Additional voluntary benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide voluntary commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs; demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work.

Pay Range (Base Pay)

$127,313 - $167,099 USD

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

Work Authorization & Employment Eligibility

Applicants must be authorized to work in the United States. As part of our commitment to maintaining a lawful workforce and ensuring compliance with federal employment regulations, we participate in the E-Verify program. If you are selected for employment, you will be required to complete the Form I-9 process, and your employment eligibility will be verified through E-Verify in accordance with applicable federal law. We are committed to providing a fair, transparent, and welcoming hiring experience for all candidates.

EEO Statement

It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.

Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.

For information related to our privacy notice, please review: Legend Biotech Privacy Notice.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in Somerset, New Jersey at Legend Biotech. The position is offered under a hybrid work-mode policy.
What are the required qualifications and experience for this role?
Candidates must have a Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field. Required experience includes handling genomic data (NGS data analysis), applying AI in data science, and advanced proficiency in R and/or Python, along with standard bioinformatics tools.
What are the key responsibilities of the Sr. Scientist, Bioinformatics Data?
You will analyze large-scale genomic datasets to identify biomarkers and therapeutic targets, apply statistical and machine learning techniques, perform quality control and batch-correction, and design and maintain scalable bioinformatics pipelines. You will also integrate biological databases and translate computational findings for experimental biologists and clinicians.
What is the salary range for this position?
The base pay range for this role is $127,313 - $167,099 USD. Actual compensation may vary based on experience, skills, qualifications, and geographic location. Eligible roles may also receive a performance-based bonus and/or equity.
What benefits and paid time off does Legend Biotech offer?
Permanent full-time employees receive medical, dental, and vision insurance, a 401(k) with immediate vesting, and 8 weeks of paid parental leave after 3 months. PTO includes vacation, personal, and sick time, plus 11 company holidays. Other benefits include FSA/HSA, life insurance, disability, commuter benefits, and well-being initiatives.
What are the work authorization requirements for this role?
Applicants must be authorized to work in the United States. Legend Biotech participates in the E-Verify program, and selected candidates must complete the Form I-9 process to verify employment eligibility in accordance with federal law.

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Job Information

Source: biospace
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Somerset, New Jersey
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