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Bioinformatics Engineer Jobs (NOW HIRING)

We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer working in a Molecular Diagnostics environment. This position is an onsite role for a minimum of 6 months with the ...

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Bioinformatics Engineer information

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$43K

$131.1K

$238.5K

How much do bioinformatics engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for bioinformatics 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 Engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer, and why are they important?

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What Is Bioinformatics Engineering?

A bioinformatics engineer uses various methods for the analysis of complex biological data such as gene sequence and protein absorption. In this career, your job duties include performing detailed data analysis, developing data queries, and presenting your results back to the research team. The qualifications needed for a career as a bioinformatics engineer include a bachelor’s degree in engineering, statistics, computer science, or mathematics. Some employers prefer a master’s degree as well. You also need strong analytical skills and a good understanding of the biosciences.

What are some common challenges faced by Bioinformatics Engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What cities are hiring for Bioinformatics Engineer jobs? Cities with the most Bioinformatics Engineer job openings:
What are the most commonly searched types of Bioinformatics Engineer jobs? The most popular types of Bioinformatics Engineer jobs are:
Who are the top companies hiring for Bioinformatics Engineer jobs? The top employers for Bioinformatics Engineer jobs are:
What states have the most Bioinformatics Engineer jobs? States with the most job openings for Bioinformatics Engineer jobs include:
Infographic showing various Bioinformatics Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,053 per year, or $63 per hour.
Bioinformatics Systems Integration Lead Engineer

Bioinformatics Systems Integration Lead Engineer

GeneDx, Inc

Gaithersburg, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


GeneDx rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories


Job description

Company Description

GeneDx is a rapidly growing CAP and CLIA certified diagnostic genetic testing laboratory for molecular genetics. Our historic mission has been to make clinical diagnostic testing available for people with genetic conditions and their families. We apply cutting edge technologies that provide a wide array of molecular genetic diagnostic tests, including whole exome sequencing and next generation sequencing panels. To learn more about GeneDx, please visit our website at www.genedx.com.

Job Description

GeneDx is seeking a Lead Engineer - Bioinformatics Systems Integration (FT, 40 hours) to work at our Gaithersburg, MD location, Monday through Friday, 8:30 a.m. to 5:00 p.m.

Role: The Lead Engineer - Bioinformatics Systems Integration will be responsible for the deployment, integration, and support of bioinformatics applications for genomic testing operations across GenPath and GeneDx. This position will also be responsible for optimization and modernization of existing systems and processes. He or she will additionally serve as the liaison between the GenPath genomics production laboratory and the assay development team at GeneDx.

Essential Duties:

  • Works closely with the assay development, clinical, wet lab, and IT teams to bring new assays into production
  • Gathers requirements, designs high-level workflows, anticipates business needs, and estimates timelines for GenPath bioinformatics projects
  • Creates and improves existing testing and deployment frameworks for bioinformatics software development
  • Optimizes existing systems (pipelines, databased, etc.) to improve scalability and maintainability
  • Contributes to the development of software for new assay implementation
  • Establishes and implements policies for bioinformatics software validations and releases and other related activities
  • Mentors jurior developers in best coding practices and general career development
  • Supervises GenPath laboratory informatics software engineers supporting and transitioning from legacy systems (Filemaker, MS Access)
  • Supports LIS system development and integration at GenPath; LIS development is performed by a third party
  • Travels up to 10-20% (maximum 2 days every other week) to GenPath at BioReference Laboratories in Elmwood Park, NJ
Qualifications

Qualifications:

  • BS or MS in Bioinformatics, Computer Science, or a related field
  • 10+ years professional software development experience
  • 5+ years leadership experience
  • 5+ years experience in genomics/bioinformatics software development
  • Proficiency in at least one major scripting language (Perl, Python)
  • Proficiency in relational database engineering (Postgres, MySQL, etc.)
  • Proficiency in Linux shell
  • Proficiency with Git version control or another modern version control system
  • Experience with HPC or cloud computing (Slurm, AWS, SGE, etc.)
  • Broad knowledge of modern genomic assay technologies and data (NGS, aCGH, etc.)
Additional Information

All your information will be kept confidential according to EEO guidelines.

Benefits include:

  • Paid Time Off (vacation, sick, personal, holiday, jury duty, bereavement leave)
  • Health, dental, vision, life insurance, LT/ST disability plans
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • 401K retirement savings plan with a 4% company match and immediate vesting
  • Tuition Assistance
  • Employee Discounts (cell phone service, movie tickets, etc.)
  • Regular performance appraisals
  • Many promotions from within

Business casual, dog-friendly work environment