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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 +1

Our technology powers scientists around the world, translating AI capabilities into tools that ... The data that trains biological frontier models comes in dozens of modalities (sequences, images ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site

$214K - $294K/yr

... 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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$37.5K

$122.7K

$196.5K

How much do biology data scientist jobs pay per year?

As of Jul 19, 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 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist, Biology

Senior Data Scientist, Biology

Eikon Therapeutics

Millbrae, CA • On-site

$178K - $215K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Position 

We are seeking an accomplished and forward-thinking Senior Data Science, Biology to join our dynamic team. As a Senior Data Science, Biology, you will lead the analysis and interpretation of complex biological data, leveraging advanced computational techniques to drive critical insights for our biotech research and development initiatives. 

About You  

The ideal candidate is passionate about harnessing the latest advances in AI including large language models (LLMs), multi-agent systems, and retrieval-augmented generation (RAG) to unlock insights from biological data. They bring deep proficiency in Python and a track record of building agentic workflows that automate complex, multi-step analytical tasks. They have extensive experience with genomics, transcriptomics, proteomics, and multi-omics data, and are excited to apply modern AI paradigms to these domains. Their strong foundation in bioinformatics is complemented by hands-on experience with AI frameworks and tools, allowing them to bridge the gap between biological science and cutting-edge AI engineering.

What You'll Do 

  • Lead and collaborate with interdisciplinary teams to analyze and interpret diverse biological data sets, including genomics, proteomics, and multi-omics data.
  • Apply cutting-edge AI and machine learning techniques including LLMs, deep learning, and foundation models to extract meaningful patterns and actionable insights from complex biological data.
  • Design and implement agentic AI workflows that orchestrate multiple AI models and tools to autonomously analyze biological pathways, interactions, and phenomena.
  • Contribute to experimental design, generating high-quality data for analysis, modeling, and hypothesis testing.
  • Integrate and harmonize disparate data sources to provide comprehensive insights and support research projects.
  • Develop and optimize agentic AI pipelines that automate multi-step biological data analysis tasks, enabling reproducible, high-throughput processing at scale.
  • Communicate technical findings and insights effectively to both technical and non-technical stakeholders.
  • Stay at the forefront of AI research including advances in LLMs, agentic systems, and multimodal models and rapidly translate these innovations into biological data analysis applications.

Qualifications 

  • Bachelor's degree with 5+ years of experience or a Master's degree with 3+ years of experience in Bioinformatics, Computational Biology, Biostatistics, or a related field or a PhD without experience.
  • Proficiency in programming languages such as Python, R, or similar languages commonly used in biological data analysis.
  • Hands-on experience building and deploying AI systems, including LLMs, agentic workflows, and multi-agent orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar).
  • Demonstrated expertise in analyzing and interpreting complex biological data sets, including genomics, transcriptomics, proteomics, and more.
  • Strong familiarity with bioinformatics tools, databases, and resources for data integration and analysis.
  • Excellent communication and collaboration skills, enabling effective teamwork and technical communication.
  • Detail-oriented mindset with exceptional problem-solving skills in analyzing intricate biological data.
  • Genuine enthusiasm for applying the latest AI breakthroughs agentic AI, LLMs, and autonomous pipelines to solve open problems in biological data science.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:

  • 401k plan with company matching
  • Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)
  • Mental health and wellness benefits
  • Weeklong summer and winter holiday shutdowns
  • Generous paid time off and holiday policies
  • Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies
  • Enhanced parental leave benefit
  • Daily subsidized lunch program when on-site

The expected salary range for this role is $178,000 to $215,250 depending on skills, competency, and the market demand for your expertise.

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