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Biological Data Science Jobs (NOW HIRING)

LuckyJay Consulting

As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics.

Formation Bio

Principal Data Scientist

New York, NY · On-site

$204K - $267K/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

Formation Bio

Director, Data Science

Boston, MA · 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

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations-defining priorities and appropriate structures for ...

Biohub

Staff Data Scientist, Imaging

Redwood City, CA

$214K - $294K/yr

Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations-defining priorities and appropriate structures for ...

Mayo Clinic

Senior Data Science Analyst - CSiG

Rochester, MN

$87K - $110K/yr

The focus of the core initially will be on spatial biology and multimodal omics integration to aid ... Data Scientists at Mayo Clinic perform detailed analysis of large bodies of scientific data in ...

New

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

... data science applications. They are seeking an AI/ML Scientist/Developer to develop innovative ... computational methods in biological laboratory settings is necessary, with knowledge of ...

Formation Bio

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/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

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Biological Data Science information

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$32.5K

$47.3K

$70K

How much do biological data science jobs pay per year?

As of Aug 14, 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.

Is biological data science well paying?

Biological data science is generally well paying, with salaries often higher than average for data-related roles due to specialized skills in bioinformatics, programming, and statistical analysis. Salaries vary based on experience, education, and location, but professionals in this field can expect competitive compensation, especially with expertise in tools like R, Python, and machine learning. Advanced roles or those in biotech and pharmaceutical industries tend to offer higher salaries.

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?

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 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:

Biological Data Science jobs near you
Infographic showing various Biological Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,326 per year, or $22.8 per hour.

Data Engineer (Remote)

LuckyJay Consulting

On-site, Remote

Full-time

Re-posted 5 days ago

Job description

Data plays a key role in our growth strategy and product development. In this role, you will lead the design and aid in the implementation of the data architecture required to support our short and long-term data vision.

You will lead the design of a knowledge graph to link diverse data sources, including high-content imaging, sequencing (WGS, WTS, scRNA, and others), MOS model characteristics, clinical and disease data, as well as public datasets of drug response. The ability to easily mine this data will be critical to opening new avenues for predictive analytics and therapeutic advances.

As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics. You will design and manage our ETL pipeline of diverse biological data, with an eye for both long-term storage considerations and enabling downstream analysis by data scientists and partners.

You will work closely with experimental scientists, device engineers, and software and operations teams to deliver solutions to further precision oncology. You will be part of a fast-paced early-stage startup and have the opportunity to shape the data strategy and product development.


  • MS in computer science, bioengineering, data science or a related discipline with 3+ years of industry experience
  • Experience with data lakes, knowledge graphs
  • Experience working in an AWS environment
  • Expertise in scripting languages - Python, R, and linux shell environment
  • Bonus: experience developing workflows
  • Knowledge of structured and unstructured databases, including Postgres
  • Experience with data science workflows
  • Bonus: knowledge of machine learning models and-development cycle
  • Experience with NGS data and bioinformatics tools and file formats
  • Bonus: Experience with multi-modal datasets
Employment Type: FULL_TIME

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