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Bioinformatics Software Engineer Jobs (NOW HIRING)

MyOme

Bioinformatics Software Engineer

San Francisco, CA · On-site

$130K - $160K/yr

As a Bioinformatics Software Engineer, you will build scalable, cloud-based pipelines that power genomic and clinical data analysis in a real-world healthcare setting. You will combine strong ...

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Bioinformatics Software Engineer information

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$43K

$131.1K

$238.5K

How much do bioinformatics software engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for bioinformatics software engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics software engineer?

A Bioinformatics Software Engineer develops and maintains software tools, algorithms, and databases for analyzing biological data, such as genomic sequences and protein structures. They work at the intersection of computer science and biology, using programming languages like Python, Java, or R to process and interpret large-scale biological datasets. Their role is crucial in fields like genomics, drug discovery, and personalized medicine, where computational solutions help researchers derive meaningful insights from complex biological information.

What are the typical daily responsibilities of a bioinformatics software engineer?

As a Bioinformatics Software Engineer, your day-to-day responsibilities typically include designing, developing, and maintaining software tools or pipelines for analyzing biological data such as DNA, RNA, or protein sequences. You may collaborate closely with researchers and scientists to understand biological problems and translate them into computational solutions, reviewing and optimizing code for efficiency and scalability. Troubleshooting data processing issues, integrating new algorithms, and contributing to documentation are also common tasks. Additionally, you might participate in cross-functional meetings and keep up with emerging technologies and trends in the field.

What are the key skills and qualifications needed to thrive in the bioinformatics software engineer position, and why are they important?

To thrive as a Bioinformatics Software Engineer, you need a strong background in software development (especially with Python, R, or C++), algorithm design, and biological data analysis, usually supported by a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), version control systems (such as Git), and experience with cloud computing or high-performance computing environments is highly valued. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with biologists and data scientists set candidates apart. These competencies are crucial for efficiently developing reliable software solutions that support complex biological research and data-driven discoveries.

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Bioinformatics Software Engineer jobs near you
Infographic showing various Bioinformatics Software Engineer job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Senior Bioinformatics Software Engineer

Morpheus Group

Houston, TX

Full-time

Posted 8 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