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Bioinformatics Engineer Jobs (NOW HIRING)

Saviance

Senior Bioinformatics Software Engineer

The Senior Bioinformatics Software Engineer plays a critical technical role in the design, development, and maintenance of scalable and efficient software solutions for bioinformatics pipelines ...

Vytwo

Bioinformatics Pipeline Test Engineer

Prosper, TX · On-site

Bioinformatics Pipeline Test Engineer Domain EXP : (Healthcare Domain) Experience: 2+ Years of exp Location: San Diego CA "Onsite client office" Duration: 6 Months JD in brief: For these candidates ...

Roche Holding AG

$145K - $269K/yr

The Position The Opportunity As a Bioinformatics Software Engineer, you will design, develop, and implement features for the bioinformatics components and pipelines that are used in Roche Sequencing ...

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

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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How much do bioinformatics engineer jobs pay per year?

As of Sep 15, 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?

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 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 does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.
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Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Bioinformatics Systems Integration Lead Engineer

Gaithersburg, MD • On-site

GeneDx, Inc
Health Care and Social Assistance • 11 - 50 employees
Learn more about GeneDx, Incexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

GeneDx rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

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

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