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Bioinformatics Test Engineer Jobs (NOW HIRING)

NYULMC

Sr. Bioinformatics Developer

New York, NY · On-site

Coordinate with NYU engineering teams to deploy and test solutions in production environments ... Master's degree in Bioinformatics, Computational Biology, Computer Science, or related field ...

Tiny Health

Trusted by families and health practitioners alike, our research-backed gut and vaginal tests are ... This position reports directly to the Bioinformatics Engineer and works closely with our broader ...

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Bioinformatics Test Engineer information

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$43K

$131.1K

$238.5K

How much do bioinformatics test engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for bioinformatics test 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 test engineer?

A Bioinformatics Test Engineer is a professional who designs, develops, and executes testing procedures to ensure the quality, accuracy, and reliability of bioinformatics software and tools. They work closely with software developers and scientists to validate algorithms, data processing pipelines, and user interfaces used in analyzing biological data. Their role is crucial in ensuring that bioinformatics applications produce correct and reproducible results, which is essential for scientific research and clinical applications.

What are the key skills and qualifications needed to thrive as a bioinformatics test engineer?

To thrive as a Bioinformatics Test Engineer, you need a strong background in biology, computer science, and software testing, often supported by a degree in bioinformatics, computer science, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (such as BLAST or GATK), and knowledge of testing frameworks and automation tools are typically required. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for this role. These skills ensure the accuracy, reliability, and usability of bioinformatics software, which is essential for advancing research and clinical applications.

What are some common challenges faced by bioinformatics test engineers when validating complex bioinformatics software?

Bioinformatics Test Engineers often encounter challenges related to the complexity and variability of biological data, which can make it difficult to create comprehensive test cases. Ensuring accuracy and reproducibility across various datasets, platforms, and algorithms is crucial but can be time-consuming. Additionally, collaborating with both software developers and domain scientists requires strong communication skills to bridge the gap between technical and biological perspectives. Staying updated on emerging tools and standards in both bioinformatics and software testing is also essential for success in this role.

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

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

Infographic showing various Bioinformatics Test Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Bioinformatics Manager (Oncology Product Development)

OR • On-site, Remote

Natera
Biotechnology Research and Development • 1 - 5K employees
Learn more about Nateraexternal

Full-time

Re-posted 23 days ago

Key responsibilities

  • Manage a team of Bioinformaticians and Data Scientists, providing technical leadership and supervision.

  • Lead the development, optimization, and validation of analysis pipelines and tools for ctDNA-based diagnostic tests, including detection of cancer-associated variants or methylation patterns.

  • Represent the team in cross-functional collaborations and oversee product development from research through commercial launch.

Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

Job description

Natera is currently seeking a Bioinformatics Manager to join the Bioinformatics team focused on Oncology Product Development. In this role, the individual will manage a team of Bioinformaticians and Data Scientists and provide technical leadership in the design, development and validation of ctDNA-based diagnostic tests. This position requires extensive cross-functional collaboration with biostatistics, molecular biology, software engineering and commercial departments. The ideal candidate will have a strong background in bioinformatics and data science, optimally with experience in the analysis or modeling of DNA methylation data, and an established record of project and technical leadership.

PRIMARY RESPONSIBILITIES:

  • Lead the effort to develop, optimize, and improve tools and analysis pipelines for diagnostic tests, including the detection of cancer-associated variants or methylation patterns and the implementation of evidence-based quality control thresholds.
  • Provide technical leadership for product development projects by representing the team in cross-functional interactions and moving products through the full development process, from research through commercial launch.
  • Supervise bioinformatics scientists and data scientists, managing their technical contributions, prioritizing resources, and taking responsibility for their technical and professional development.
  • Provide input on experiment design, analysis and interpretation based on expert understanding of Natera's technology and relevant mathematical principles.
  • Work at a high level of independence and responsibilities in carrying out assignments.
  • Contribute to our intellectual property portfolio.
  • Set standards for rigorous data analysis and lead the production of high-quality documentation. 

QUALIFICATIONS:

  • Master's degree or Ph.D. in a quantitative discipline (bioinformatics, engineering, applied mathematics, statistics, or similar).
  • Minimum of 4-8 years of post-graduate experience in a data science and/or bioinformatics role and 1-3 years of experience as technical lead in diagnostics or a related field
  • Experience moving algorithm-based products through commercialization and launch in a medical or biological application such as diagnostic testing, medical imaging, or biotechnology

Desirable, but not required:

  • Prior experience analyzing or modeling DNA methylation data.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Experience using Python or R for scientific data analysis and visualization.
  • Strong foundation in statistical modeling/machine learning, including probability theory and estimation/classification methods.
  • Experience with analysis of next-generation sequencing data, preferably including algorithm development or optimization.
  • Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
  • Excellent analytical, problem-solving and decision-making skills to independently make sound judgments and find creative solutions to moderately complex problems.
  • Experience leading technical projects, including defining and meeting project milestones, delegating tasks to more junior team members, and ensuring the quality of technical deliverables.
  • Excellent communication skills and the desire to work in a dynamic and collaborative environment.

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