ZipRecruiter

Log In

1

Biology Data Science Jobs (NOW HIRING)

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

Holganix

Head of Science

Kansas City, MO · On-site

Holganix is transforming agriculture by bringing together soil health and biological science, environmental science (carbon, water, etc), and data science to help farmers grow more profitably and ...

EpiVax

AI/ML Scientist

Providence, RI · On-site

D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent * 2+ years of industry experience * Demonstrated success applying AI/ML to biological datasets ...

EpiVax

AI/ML Scientist

Providence, RI · On-site

D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent * 2+ years of industry experience * Demonstrated success applying AI/ML to biological datasets ...

next page

Showing results 1-20

All JobsBiology Data Science Jobs

Biology Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do biology data science jobs pay per year?

As of Jun 8, 2026, the average yearly pay for biology data science 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.

What is a Biology Data Science job?

A Biology Data Science job involves applying data analysis, machine learning, and computational techniques to biological data. Professionals in this field work with large datasets from genomics, proteomics, ecology, or clinical studies to extract insights and drive scientific discoveries. They often use programming languages like Python or R, along with statistical and bioinformatics tools, to analyze complex biological systems. These roles exist in academia, pharmaceuticals, biotechnology, and healthcare.

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

To excel in Biology Data Science, a strong background in biological sciences paired with expertise in statistical analysis, programming (commonly Python or R), and data interpretation is essential. Familiarity with tools such as bioinformatics platforms, machine learning libraries, and data visualization software, along with relevant certifications in data science or computational biology, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with multidisciplinary teams and present complex findings clearly. These competencies allow professionals to manage and analyze large biological datasets, driving data-driven discoveries and innovation in research or industry settings.

What are common day-to-day responsibilities for professionals in a Biology Data Science role?

Professionals in Biology Data Science typically spend their days acquiring, cleaning, and analyzing large sets of biological data, such as genomic sequences or clinical trial results. They use coding and statistical methods to uncover patterns, develop predictive models, and generate insights to support scientific discoveries or healthcare decisions. Collaboration is frequent, often requiring close coordination with biologists, clinicians, and software engineers to interpret data and ensure research objectives are met. Additionally, clear and concise reporting of findings, often through visualizations or presentations, is a regular part of the job. This blend of data science and biology offers dynamic workdays that can have a direct impact on advancing scientific knowledge and improving patient outcomes.

More about Biology Data Science jobs
What cities are hiring for Biology Data Science jobs? Cities with the most Biology Data Science job openings:
What are the most commonly searched types of Biology Data Science jobs? The most popular types of Biology Data Science jobs are:
What states have the most Biology Data Science jobs? States with the most job openings for Biology Data Science jobs include:
What job categories do people searching Biology Data Science jobs look for? The top searched job categories for Biology Data Science jobs are:
Biology Data Science jobs near you
Infographic showing various Biology Data Science job openings in the United States as of May 2026, with employment types broken down into 70% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist, Bioinformatics

Senior Data Scientist, Bioinformatics

Precigen, Inc

Germantown, MD • On-site

$85K - $120K/yr

Full-time

Posted 7 days ago

Job description

GENERAL DESCRIPTION:

We are seeking a proficient Senior Data Scientist within Precigen’s Bioinformatics team who will be responsible for sequence data analysis, statistical analysis, and data mining. This individual will maintain and develop analysis pipelines, run data analyses, visualize results and communicate them to lab scientists and principal investigators. Extensive experience with DNA and RNA sequencing analysis and strong knowledge of statistical methods, coupled with a solid understanding of foundational biological principles, will be required. You will join a transnational team working at the intersection of biology, data science, and software development.

DUTIES AND RESPONSIBILITIES:

  • Perform computational analysis of DNA and RNA sequences.
  • Perform statistical analyses on experimental data from molecular and cell biology, immunology and oncology.
  • Mine clinical data with machine learning methods.
  • Perform computational analysis of protein sequence data.
  • Visualize and communicate analysis results to biologists.
  • Contribute to scientific writing.


EDUCATION AND EXPERIENCE:

  • PhD, MS, or equivalent experience in molecular biology, biochemistry, computational biology, bioinformatics or a related discipline.
  • Five or more years of experience with computational DNA analysis (insertion analysis, variant analysis), bulk and single cell RNA analysis, expression analysis, and pathway analysis.
  • Familiarity with bioinformatics concepts and standard tools for sequence data handling, sequence alignment, and differential expression analysis.
  • Good knowledge of statistics.
  • Familiarity with the Unix/Linux command line.
  • Strong programming skills in R and Perl.
  • Extensive experience with data analysis and visualization.
  • Knowledge of and experience with machine learning concepts and methods.
  • Experience with protein sequence analysis from mass spectrometry data.
  • Familiarity with AI-based tools is appreciated.

DESIRED KEY COMPETENCIES:

  • Capable of adapting to rapidly changing and developing requirements.
  • The candidate can engage effectively with scientists to understand the design, rationale, and scientific context of lab experiments, ensuring that data analyses align with experimental goals.
  • They can clearly communicate the methods, reasoning, results, and interpretations of their analyses within the Bioinformatics team and across research groups.
  • Ready to seek, accept, and provide feedback and advice from and to team colleagues and management.
  • Communicates issues and problems openly and early.
  • Exhibits high performance both independently and in a team setting.
  • Delivers work on schedule and within agreed timeframes.
  • Is comfortable with communicating predominantly via electronic means.
  • Effectively conveys information in a clear, structured manner.
  • Can interact proficiently in an international and culturally diverse environment where not everyone is a native speaker of English.
  • Sufficient language skills in German to discuss professional matters are a plus.


EOE MFDV