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Bioinformatics Data Scientist Jobs (NOW HIRING)

4432

Data Scientist III

Dallas, TX · On-site

Experience working with complex health care data, high dimensional bioinformatics data, and ... Education PhD In Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics ...

Exagen Inc.

Clinical Data Scientist

Carlsbad, CA · On-site

S. degree in bioinformatics, data science, biostatistics, computer science, or a related quantitative field and a minimum of 5 years of experience preparing, managing, and analyzing clinical or ...

Exagen Inc.

Clinical Data Scientist

Carlsbad, CA

S. degree in bioinformatics, data science, biostatistics, computer science, or a related quantitative field and a minimum of 5 years of experience preparing, managing, and analyzing clinical or ...

Exagen Inc.

Clinical Data Scientist

Carlsbad, CA

S. degree in bioinformatics, data science, biostatistics, computer science, or a related quantitative field and a minimum of 5 years of experience preparing, managing, and analyzing clinical or ...

Exagen-Inc.-

Clinical Data Scientist

Carlsbad, CA · On-site

S. degree in bioinformatics, data science, biostatistics, computer science, or a related quantitative field and a minimum of 5 years of experience preparing, managing, and analyzing clinical or ...

Exagen Inc.

Clinical Data Scientist

Carlsbad, CA · On-site

S. degree in bioinformatics, data science, biostatistics, computer science, or a related quantitative field and a minimum of 5 years of experience preparing, managing, and analyzing clinical or ...

University of Florida

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or ...

Natera

Director of Data Science and Bioinformatics

OR · On-site +1

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the ...

Booz Allen Hamilton

$61K - $141K/yr

Coordinate bioinformatics, data science, engineering, cloud, and infrastructure teams to ensure alignment and delivery. Participate in Agile ceremonies such as backlog refinement, sprint planning ...

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Bioinformatics Data Scientist information

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How much do bioinformatics data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for bioinformatics 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 bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What are the key skills and qualifications needed to thrive as a bioinformatics data scientist?

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

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Bioinformatics Data Scientist jobs near you
Infographic showing various Bioinformatics Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Bioinformatics Software Engineer

Houston, TX • On-site

Morpheus Group
See more jobs at Morpheus Groupexternal

Full-time

Re-posted 15 days ago

Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences