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Biology Data Scientist Jobs (NOW HIRING)

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

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

Senior Data Scientist

New York, NY ยท 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

Data Scientist

Manhattan, NY ยท 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 ...

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 ...

Showing results 21-40

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 6, 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.

More about Biology Data Scientist jobs
What cities are hiring for Biology Data Scientist jobs? Cities with the most Biology Data Scientist job openings:
What are the most commonly searched types of Biology Data Scientist jobs? The most popular types of Biology Data Scientist jobs are:
What states have the most Biology Data Scientist jobs? States with the most job openings for Biology Data Scientist jobs include:
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.

Computational Data Scientist II

University of Pittsburgh

Pittsburgh, PA โ€ข On-site

Full-time

Posted 16 days ago


Job description

The Bioinformatics Core within the Division of Health Informatics at UPMC Children's Hospital of Pittsburgh is seeking a computational biologist or data scientist to develop and apply machine learning and deep learning methods for omics-driven biomedical research. This individual will work closely with faculty and collaborators across multiple pediatric research programs to support biologically grounded, translationally relevant research. Equivalent relevant work experience may be substituted for degree requirement. This position is located at UPMC Children's Hospital of Pittsburgh in Lawrenceville. PA Child Abuse History Clearance, PA State Police Criminal Record Check, and FBI Criminal Record Check will be required prior to the start of employment. Also, a current TB test will be required as a condition of employment. EEO/AA/M/F/Vets/Disabled.
Minimum Qualifications
Applicants should have an MS or PhD in computational biology, bioinformatics, computer science, statistics, data science, biomedical informatics, or a related quantitative field.
The successful candidate should have strong programming skills in Python and/or R, with experience using libraries such as PyTorch, TensorFlow, scikit-learn, or comparable tools. Experience in applying computational or statistical modeling to biomedical or biological datasets is expected.
Prior experience working with single-cell, spatial omics, or related high-dimensional omics datasets is highly desirable. Candidates should be strong critical thinkers who can translate ideas into completed analyses, models, or tools; manage contributions across multiple collaborative research projects; work independently and as part of multidisciplinary teams; and demonstrate strong oral and written communication skills.
Preferred qualifications include:
โ€ข Demonstrated experience designing and implementing models for high-dimensional biological data, beyond routine application of existing analysis pipelines.
โ€ข Hands-on experience with graph neural networks or perturbation modeling.
โ€ข Experience integrating omics data with clinical data sources such as electronic health records (EHR).
โ€ข Evidence of independent technical contribution, such as first-author or co-author publications, preprints, conference presentations, open-source software, deployed tools, analytical pipelines, or a relevant project portfolio.