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Director Bioinformatics Software Engineer Jobs (NOW HIRING)

As a Bioinformatics Software Engineer, you will build scalable, cloud-based pipelines that power ... Direct access to company leadership and the opportunity for career growth Diversity, Inclusion, and ...

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Director Bioinformatics Software Engineer information

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$43K

$131.1K

$238.5K

How much do director bioinformatics software engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director 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 the difference between Director Bioinformatics Software Engineer vs Bioinformatics Software Engineer?

AspectDirector Bioinformatics Software EngineerBioinformatics Software Engineer
CredentialsBachelor's/Master's/PhD in Bioinformatics, Computer Science, or related; extensive experienceBachelor's/Master's in Bioinformatics, Computer Science, or related; relevant experience
Work EnvironmentLeadership role overseeing teams, strategic planning, project managementDeveloping software, analyzing data, coding, collaborating with teams
Employer & Industry UsageBiotech, pharma, research institutions, biotech startupsResearch labs, biotech companies, healthcare, academia

The main difference between a Director Bioinformatics Software Engineer and a Bioinformatics Software Engineer lies in their responsibilities and seniority. The director oversees teams, manages projects, and sets strategic goals, while the software engineer focuses on coding, data analysis, and software development. Both roles require strong bioinformatics and programming skills, but the director's role is more leadership-oriented.

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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