> Markdown version of [/jobs/ext/2103231-scientist-sr-scientist-bioinformatics-data](https://www.wearedevelopers.com/jobs/ext/2103231-scientist-sr-scientist-bioinformatics-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Scientist/Sr. Scientist, Bioinformatics Data - **Company:** Legend Biotech - **Location:** Franklin Township, NJ, United States - **Experience:** Expert - **Salary:** $127,313.0 - $167,099.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Bioinformatics, Computational Biology, Computer Simulation, Databases, Data Mining, Software Debugging, Python (Programming Language), Machine Learning, NumPy, Computational Statistics, Unstructured Data, Cloud Platform System, Bioconductor, Pandas, Containerization, Scikit Learn, Data Analytics, Docker - **Published:** August 18, 2026 - **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3068802%2Fscientist-sr-scientist-bioinformatics-data%3FAction%3DContinueJobApplication%23application-form ## About the Role 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., * 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. ## Description * 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., 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. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! 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