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Senior Computer Science Bioinformatics Jobs in New Jersey

Legend Biotech USA, Inc.

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug ... S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly ...

MSD

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are ... Bachelor's degree in mathematics, statistics, data science, computer science, or related field

Kenvue

Senior Scientist, Research & Development

Chatham, NJ · Hybrid

$105.40 - $148.80/hr

Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people ... Bioinformatics programming software such as R and minitab * Detail-oriented and able to manage ...

New

Kenvue

Senior Scientist, Research & Development

Summit, NJ · Hybrid

$105.40 - $148.80/hr

Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people ... Bioinformatics programming software such as R and minitab * Detail-oriented and able to manage ...

Totalwine

About the Role Total Wine & More is seeking a Senior Data Scientist to join our growing Data ... Master's Degree in Computer Science, Mathematics, Statistics or related field is preferred. * 3-6 ...

Jj

Senior Data Analyst

Titusville, NJ · On-site +1

$110K - $117K/yr

... Computer Science, Machine Learning & Data Science, Computational Informatics, Bioinformatics or ... or in a Senior Date Analyst-related occupation. *May telecommute per company's policy (hybrid)

Hunterdon Health

Senior System Engineer

Flemington, NJ · On-site

$105K - $144K/yr

Position Summary A Senior System Engineer will design, support and implement advanced server based ... Bachelors Degree in Computer Science Certificate and/or Advanced Specialized or Technical Training ...

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Senior Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a senior computer science bioinformatics professional?

To thrive as a Senior Computer Science Bioinformatics professional, you need advanced knowledge in computational biology, programming (such as Python, R, or Java), and a strong background in molecular biology or genomics, often supported by a graduate degree (MSc or PhD). Proficiency with bioinformatics tools (like BLAST, GATK, or Bioconductor), high-performance computing environments, and version control systems (e.g., Git) is essential. Strong problem-solving abilities, analytical thinking, and effective collaboration skills set top performers apart in this field. These competencies are crucial for managing complex biological datasets, developing innovative algorithms, and driving impactful research in interdisciplinary teams.

How does a senior computer science bioinformatics professional typically collaborate with multidisciplinary teams?

Senior Computer Science Bioinformatics professionals often work closely with biologists, clinicians, statisticians, and software engineers to analyze complex biological datasets. They are responsible for translating biological questions into computational problems, developing algorithms or pipelines, and ensuring that results are accurate and actionable. Effective communication and collaboration are essential, as they must bridge the gap between technical and scientific teams, lead project discussions, and sometimes mentor junior team members. This collaborative environment fosters innovation and helps drive research projects or clinical applications forward.

What does a senior computer science bioinformatics professional do?

A Senior Computer Science Bioinformatics professional applies advanced computational methods and software development techniques to analyze biological data, such as DNA, RNA, and protein sequences. They design and implement algorithms, manage large datasets, and collaborate with biologists to interpret results for research or clinical purposes. Their work often supports discoveries in genomics, drug development, and personalized medicine. In addition to technical expertise, they may lead teams, mentor junior staff, and oversee complex projects.
What are the most commonly searched types of Computer Science Bioinformatics jobs in New Jersey? The most popular types of Computer Science Bioinformatics jobs in New Jersey are:
What cities in New Jersey are hiring for Senior Computer Science Bioinformatics jobs? Cities in New Jersey with the most Senior Computer Science Bioinformatics job openings:
Senior Computer Science Bioinformatics jobs near you

Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US

Somerset, NJ • Hybrid

Other

Re-posted 20 days ago

Job description

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.

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