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Biology Data Scientist Jobs (NOW HIRING)

Legend Biotech USA, Inc.

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 ...

Louisiana State University

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Louisiana Workforce Commission

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

LSU AgCenter

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Biohub

Staff Data Scientist, Genomics

Redwood City, CA · On-site

... science at unprecedented scale, and translating these advances into practical tools that empower ... The data that trains biological frontier models comes in dozens of modalities (sequences, images ...

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Biology Data Scientist information

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How much do biology data scientist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for biology data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How much do biological data scientists make?

Biological data scientists typically earn a median salary between $80,000 and $120,000 annually, depending on experience, education, and location. Advanced skills in bioinformatics, programming, and statistical analysis can lead to higher compensation, especially in research or industry roles.

What biology jobs pay over $100k?

Biology data scientists and senior research scientists often earn over $100,000 annually, especially with advanced skills in bioinformatics, machine learning, and experience in biotech or pharmaceutical industries. Roles in biotech management, clinical research leadership, and specialized laboratory positions can also exceed this salary threshold, particularly with relevant certifications and extensive experience.

What is a Biology Data Scientist job?

A Biology Data Scientist combines expertise in biological sciences with data analysis, machine learning, and programming to extract insights from complex biological data. They work with large datasets from genomics, proteomics, clinical trials, or ecological studies to develop predictive models, optimize experiments, and uncover patterns. Their role often involves coding (Python, R), statistical analysis, and collaboration with biologists to drive scientific discoveries and innovations in healthcare, biotechnology, and environmental research.

What are the key skills and qualifications needed to thrive in the Biology Data Scientist position, and why are they important?

A Biology Data Scientist needs a strong background in biological sciences, statistics, and data analysis, typically backed by an advanced degree in biology, bioinformatics, or a related field. Familiarity with bioinformatics tools, programming languages like Python or R, and experience with large biological datasets are crucial, with certifications in data science or genomics being advantageous. Strong problem-solving skills, effective communication, and the ability to collaborate with multidisciplinary teams are valuable assets. These skills enable professionals to translate complex biological data into actionable scientific insights, driving research and innovation.

What are some typical challenges a Biology Data Scientist faces in their daily work?

One common challenge for Biology Data Scientists is managing and interpreting large, complex biological datasets that often require robust data cleaning and integration from diverse sources. They may also need to stay updated with rapidly evolving computational tools and methods while ensuring the biological relevance of their analyses. The role often involves collaborating closely with laboratory scientists, clinicians, or research teams to translate computational findings into actionable biological or clinical outcomes. Adapting to interdisciplinary communication and balancing the technical and domain-specific aspects of biology are key parts of the job.

Can I get a data science job with a biology degree?

A biology degree can provide a strong foundation for a data science job, especially when combined with skills in programming, statistics, and data analysis tools like Python or R. Many data scientists in biology-related fields have additional training or certifications in data science to enhance their qualifications.

What does a biological data scientist do?

A biological data scientist analyzes biological data using statistical and computational methods to uncover insights about living organisms and systems. They often work with large datasets, employ programming languages like Python or R, and may use tools such as machine learning algorithms to support research and decision-making in biology and healthcare.
More about Biology Data Scientist jobs
What cities are hiring for Biology Data Scientist jobs? Cities with the most Biology Data Scientist job openings:
What are the most commonly searched types of Biology Data Scientist jobs? The most popular types of Biology Data Scientist jobs are:
What states have the most Biology Data Scientist jobs? States with the most job openings for Biology Data Scientist jobs include:
What job categories do people searching Biology Data Scientist jobs look for? The top searched job categories for Biology Data Scientist jobs are:
Biology Data Scientist jobs near you
Infographic showing various Biology Data Scientist job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US

Somerset, NJ • Hybrid

Other

Posted 10 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

  • 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.
  • Pipeline Development & Automation: 
    • 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 driven by the prospect of turning data into information, and information into knowledge.

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