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Bioinformatics Software Engineer Jobs (NOW HIRING)

$146 - $234/hr

Working at the intersection of bioinformatics, software engineering, validation, and operational support, you will monitor system performance, identify deviations from established standards, and ...

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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 28, 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.

What cities are hiring for Bioinformatics Software Engineer jobs?

Cities with the most Bioinformatics Software Engineer job openings:

What are the most commonly searched types of Bioinformatics Software Engineer jobs?

The most popular types of Bioinformatics Software Engineer jobs are:

What states have the most Bioinformatics Software Engineer jobs?

States with the most job openings for Bioinformatics Software Engineer jobs include:

What are popular job titles related to Bioinformatics Software Engineer jobs?

For Bioinformatics Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Bioinformatics Software Engineer job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,053 per year, or $63 per hour.

Bioinformatics Software Engineer

Houston, TX

Baylor Miraca Genetics Laboratories
201 - 500 employees

Full-time

Posted 4 days ago


Job description

JOB SUMMARY 

The Bioinformatics Software Engineer is responsible for developing and maintaining bioinformatics software, databases, and tools. They assist in the design and execution of data processing pipelines for genomic, transcriptomic, and proteomic data, collaborating with research and clinical review teams to analyze experimental data and interpret results. Additionally, they contribute to the integration of bioinformatics tools with other platforms and technologies, document and report on software development processes and data analyses and stay updated with the latest bioinformatics software and techniques. 

KEY RESPONSIBILITES 

  • Develop and maintain bioinformatics software, databases, and tools. 
  • Assist in the design and execution of data processing pipelines for genomic, transcriptomic, and proteomic data. 
  • Collaborate with research and clinical review teams to analyze experimental data and interpret results. 
  • Contribute to the integration of bioinformatics tools with other platforms and technologies. 
  • Document and report on software development processes, data analyses, and results. 
  • Participate in team meetings and provide insights and updates on project statuses. 
  • Stay updated with the latest bioinformatics software and techniques. 

QUALIFICATIONS 

Required 

·       Education: Bachelor's degree or higher in Bioinformatics, Computer Science, or a related field. 

·       Experience: Proficiency in programming languages such as Python, R, or Java. Prior clinical lab experience preferred but not required 

COMPETENCIES 

  • Experience in developing and maintaining bioinformatics software, databases, and tools. 
  • Familiarity with data processing pipelines for genomic, transcriptomic, and proteomic data. 
  • Strong analytical and problem-solving skills. 
  • Ability to collaborate effectively with research and clinical review teams. 
  • Knowledge of bioinformatics tools and techniques. 
  • Excellent documentation and reporting skills. 
  • Ability to stay updated with the latest advancements in bioinformatics software and techniques. 
  • Experience with version control systems such as Git is a plus.

PHYSICAL DEMANDS AND WORK ENVIRONMENT 

  • Frequently required to sit, stand, utilize hand and finger dexterity, talk, or hear. 
  • Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard. 
  • Occasionally exposed to bloodborne and airborne pathogens or infectious materials. 

EEO Statement: 

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.  

 
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