Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US; New Jersey; On-site; USD 127,313 - 167,099; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan with company match

Paid parental leave

Flexible spending accounts

Short- and long-term disability coverage

Job summary

Legend Biotech US is looking for a highly motivated Bioinformatics Data Scientist to join its R&D team in Somerset, New Jersey. The role focuses on analyzing high-dimensional genomic data to derive therapeutic insights and optimize bioinformatics pipelines.

The ideal candidate holds a Ph.D. or M.S. and is proficient in R and Python, with experience in handling NGS data. This competitive position offers a salary range of $127,313 - $167,099 USD and comprehensive benefits.

Qualifications

• Proven experience in genomic data analysis, particularly NGS.
• Ability to translate biological data into actionable insights.
• Strong proficiency in R and/or Python programming.

Responsibilities

• Analyze large genomic datasets to identify biomarkers.
• Design and maintain bioinformatics pipelines.
• Collaborate cross-functionally to communicate findings.

Skills

AI application

Data analysis

Bioinformatics

Machine learning

R

Python

Next-Generation Sequencing

Education

Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, or Biology

Tools

Bioconductor

AWS

Docker

Seurat

Job description

Somerset, New Jersey, United States

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life‑threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T‑cell, T‑cell receptor (TCR‑T), and natural killer (NK) cell‑based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting‑edge therapeutics for patients worldwide.

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta‑cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.

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

• Data Analysis:
  • 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.
• Cross‑Functional Collaboration:
  • 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 are driven by the prospect of turning data into information, and information into knowledge.

Base Pay Range

$127,313 - $167,099 USD

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.

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

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