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Biology Data Scientist Jobs (NOW HIRING)

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

City of New York

Data Scientist

Manhattan, NY · On-site +1

We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ... biological and environmental sciences and public health) A master's degree from an accredited ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ... biological and environmental sciences and public health) A master's degree from an accredited ...

City of New York

Data Scientist

Manhattan, NY · On-site

$80K - $90K/yr

We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ... biological and environmental sciences and public health) A master's degree from an accredited ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

The Pennsylvania State University

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

S. National Science Foundation National Synthesis Center for Emergence in the Molecular and ... Lead data wrangling, harmonization, standardization, and quality control of existing biological ...

Battelle Memorial Institute

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business Line is seeking a skilled and curious Data Scientist to provide direct support at a client facility. The ...

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Showing results 41-60

All JobsBiology Data Scientist Jobs

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 Aug 13, 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.

What is a biology data scientist?

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 as a biology data scientist?

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.

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Biology Data Scientist jobs near you
Infographic showing various Biology Data Scientist job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Bioinformatics/Data Scientist

Nextonic Solutions LLC

Frederick, MD

$100K - $185K/yr

Full-time

Posted 28 days ago

Job description

Nextonic Solutions is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.


Overview


The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This position is central to the SOM Center's research objectives, focusing on characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment.


Responsibilities


  • The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
  • The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
  • A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
  • The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.


Qualifications

  • Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
  • Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
  • Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
  • Knowledge of proteomics and metabolomics data analysis workflows is necessary.


Preferred Qualifications


  • Previous experience analyzing organoid datasets is strongly preferred.
  • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
  • Experience with high-performance computing environments and version control systems is desirable.