ZipRecruiter

Log In

2

Full Time 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 JobsFull Time Biology Data Science Jobs

Full Time Biology Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time biology data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time 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.

How do Biology Data Scientists typically collaborate with laboratory researchers and other scientific teams?

Biology Data Scientists often work closely with laboratory researchers, bioinformaticians, and other scientific teams to analyze complex biological datasets and translate findings into actionable insights. Collaboration usually involves regular meetings to discuss project goals, sharing data and preliminary results, and jointly interpreting findings to guide experimental design. Effective communication is essential, as data scientists must bridge the gap between computational methods and biological context, ensuring that analyses are relevant and impactful. This collaborative environment fosters innovation and often leads to multidisciplinary projects that advance both scientific discovery and organizational goals.

What is a Full Time Biology Data Science job?

A Full Time Biology Data Science job involves applying data science techniques and tools to analyze biological data, such as genomics, proteomics, or clinical datasets. Professionals in this role use statistical analysis, machine learning, and programming to extract insights and solve problems in biology. They often work with large datasets, collaborate with biologists and clinicians, and help drive research or product development in biotechnology, pharmaceuticals, or healthcare. This is a full-time position, typically requiring at least a bachelor's or master's degree in biology, data science, bioinformatics, or a related field.

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

To thrive as a Full Time Biology Data Scientist, you need a strong background in biology, statistics, and computational methods, typically 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 proficiency in data analysis platforms are essential. Effective communication, critical thinking, and problem-solving skills help translate complex data into actionable biological insights. These combined skills are crucial for accurately analyzing biological data and contributing to research or clinical advancements.
More about Full Time Biology Data Science jobs
What cities are hiring for Full Time Biology Data Science jobs? Cities with the most Full Time 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 Full Time Biology Data Science jobs? States with the most job openings for Full Time Biology Data Science jobs include:
What job categories do people searching Full Time Biology Data Science jobs look for? The top searched job categories for Full Time Biology Data Science jobs are:
Full Time Biology Data Science jobs near you
Infographic showing various Full Time Biology Data Science job openings in the United States as of June 2026, with employment types broken down into 89% Part Time, and 11% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% 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