ZipRecruiter

Log In

1

Biological Data Science Jobs (NOW HIRING)

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

You'll work at the intersection of computational biology, machine learning, and drug development ... Lead and execute complex data science projects that directly advance our drug development portfolio

next page

Showing results 1-20

All JobsBiological Data Science Jobs

Biological Data Science information

See salary details

$32.5K

$47.3K

$70K

How much do biological data science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for biological data science in the United States is $47,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What biology jobs pay over $100K?

Biological data scientists, bioinformatics managers, and senior research scientists often earn over $100,000 annually, especially with advanced degrees and experience. Roles in biotech, pharmaceuticals, and healthcare research typically offer higher salaries, and proficiency in programming, statistical analysis, and data management can enhance earning potential.

What careers can you do with biological science?

Biological Data Science professionals can pursue careers in research, healthcare, biotechnology, pharmaceuticals, environmental science, and academia. They analyze biological data using skills in statistics, programming, and data visualization, often working with tools like R, Python, or specialized bioinformatics software.

How much do biological data scientists make?

Biological data scientists typically earn a median salary of around $85,000 to $110,000 per year, depending on experience, education, and location. Advanced skills in bioinformatics tools, programming languages like Python or R, and knowledge of biological sciences can lead to higher compensation, especially in research or industry settings.

What are the key skills and qualifications needed to thrive as a Biological Data Scientist, and why are they important?

To thrive as a Biological Data Scientist, you need a strong background in biology, statistics, and data analysis, often supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of databases such as GenBank are typically required. Strong problem-solving, collaboration, and communication skills help you interpret complex data and effectively share findings with interdisciplinary teams. These skills are crucial for deriving meaningful biological insights from large datasets and driving innovation in research or healthcare.

What does a biological data scientist do?

A biological data scientist analyzes biological data, such as genetic sequences, clinical records, or experimental results, using statistical and computational methods. They often work with tools like R, Python, and specialized bioinformatics software to interpret complex datasets and support research or healthcare decisions.

What is Biological Data Science?

Biological Data Science is an interdisciplinary field that combines biology, computer science, statistics, and mathematics to analyze and interpret complex biological data. Professionals in this field work with large datasets generated from genomics, proteomics, and other biological experiments to uncover meaningful patterns and insights. They use computational tools and algorithms to advance research in areas such as medicine, agriculture, and environmental science. The goal is to translate raw biological data into actionable knowledge that can drive scientific discovery and innovation.

What are some common challenges faced by professionals in Biological Data Science, and how can they be addressed?

Professionals in Biological Data Science often encounter challenges such as managing large and complex datasets, integrating diverse data types (e.g., genomics, proteomics, clinical data), and staying current with rapidly evolving analytical tools. Addressing these challenges typically involves strong collaboration with interdisciplinary teams, continuous learning of new computational methods, and implementing robust data management practices. Building effective communication skills is also important, as conveying complex findings to non-specialist stakeholders is a frequent part of the role.

What is the difference between Biological Data Science vs Bioinformatics?

AspectBiological Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biology, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcareResearch labs, healthcare, academic institutions
Employer & Industry UsageTech companies, pharmaceuticals, research institutionsAcademic, healthcare, biotech firms
Common Search & ComparisonYesYes

Biological Data Science focuses on analyzing biological data using advanced data analytics, machine learning, and statistical methods. Bioinformatics emphasizes developing algorithms and software for understanding biological data, often with a stronger focus on computational biology. While both roles require programming skills and biological knowledge, Biological Data Science is more data analytics-oriented, whereas Bioinformatics centers on computational tool development.

More about Biological Data Science jobs
What cities are hiring for Biological Data Science jobs? Cities with the most Biological Data Science job openings:
What are the most commonly searched types of Biological Data Science jobs? The most popular types of Biological Data Science jobs are:
What states have the most Biological Data Science jobs? States with the most job openings for Biological Data Science jobs include:
What job categories do people searching Biological Data Science jobs look for? The top searched job categories for Biological Data Science jobs are:
Biological Data Science jobs near you
Infographic showing various Biological Data Science job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 29% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $47,326 per year, or $22.8 per hour.
Senior Data Scientist, Biology

Senior Data Scientist, Biology

Eikon Therapeutics

Millbrae, CA

$178K - $194K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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 $194,750 depending on skills, competency, and the market demand for your expertise.

Apply