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Bioinformatics Data Engineer Jobs (NOW HIRING)

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

Senior Bioinformatics Engineer Compensation : $125K - $200K base + 0.25% - 0.5% equity About ... Data Engineering - contribute to the development and maintenance of cloud-based infrastructure ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

$105K - $120K/yr

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ...

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Bioinformatics Data Engineer information

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$43K

$131.1K

$238.5K

How much do bioinformatics data engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for bioinformatics data 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 are the key skills and qualifications needed to thrive as a Bioinformatics Data Engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What is a Bioinformatics Data Engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

More about Bioinformatics Data Engineer jobs
What cities are hiring for Bioinformatics Data Engineer jobs? Cities with the most Bioinformatics Data Engineer job openings:
What states have the most Bioinformatics Data Engineer jobs? States with the most job openings for Bioinformatics Data Engineer jobs include:
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Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.
Bioinformatics Data Scientist

Bioinformatics Data Scientist

Ansa Biotechnologies, Inc.

Emeryville, CA • On-site

$131.25K - $183.75K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Ansa is seeking a highly skilled and motivated Bioinformatics Data Scientist to join our team. In this role you will work in collaboration with R&D scientists to understand experimental, manufacturing, and commercial data in the context of DNA sequence features. You will design and build data analysis pipelines that drive further innovation of Ansa's enzymatic DNA synthesis products. Embedded on a team of bioinformatics data scientists and software engineers, you will integrate the tools you build into our production software ecosystem. This work will improve manufacturing outcomes, enhance product development efforts, and feed insights back to Ansa's commercial strategy.
This role requires a strong background in the analysis and interpretation of DNA data and some experience in implementing data science workflows at scale. The ideal candidate has a Ph.D. and 2+ years of experience in biotech or a related industry.
Responsibilities:

  • Analyze data and present findings to drive decision-making in R&D, manufacturing pipeline improvement, and product development.
  • Critically evaluate statistical learning, AI, and bioinformatics tools for their appropriate application to experimental and production data.
  • Design, develop, and deploy scalable and robust bioinformatics pipelines.
  • Collaborate with cross-functional teams to understand requirements and rapidly implement solutions from prototype/concept to production deployment.
  • Ensure data integrity, traceability, accuracy, and security.
  • Use software engineering best practices, including distributed version control, participation in team code review, and automation for building, testing, and deploying production code.
Qualifications:
  • Ph.D. in Bioinformatics, Computational Biology, Biophysics, Computer Science, or a related quantitative field. Candidates with equivalent industry experience and demonstrated quantitative skill set will be considered.
  • Proven track record in analyzing, interpreting, and modeling biological data, including high-throughput sequencing data, using Python for data manipulation, analysis, and visualization.
  • Proficient in using a wide range of bioinformatics tools and resources for DNA sequence analysis, including experience using statistical, machine learning, and AI methods in molecular biology and genomics.
  • Demonstrated experience shipping production code in an industry setting using software engineering best practices.
  • Experience deploying automated analysis pipelines using cloud computing resources.
  • Excellent problem-solving, communication, and collaboration skills.
  • Desire to deliver high-quality results in a fast-paced, dynamic environment.
What We Offer:
  • Competitive salary and equity.
  • Generous benefits package including health, dental, and vision.
  • Ongoing professional development and training opportunities.
  • A collaborative and innovative work environment.
  • The opportunity to be part of a company at the forefront of synthetic biology and innovation.
San Francisco Bay Area Pay Range $131,250 - $183,750 - Depending upon experience Ansa Biotechnologies is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. At Ansa, we're building a community of intelligent and passionate humans that will help us change biotechnology research with our enzymatic DNA synthesis technology. We believe that challenging and trusting one another, and continuously learning are essential to our success. We believe that building diverse, inclusive and psychologically safe spaces are essential to a community culture that yields the happiest colleagues and friends, and the highest quality research. As we are growing rapidly, this is an ever present goal: hiring the best people while building diversity in thought, experience and background within our team. While the biotechnology space can feel limited in BIPOC, non-binary and even female representation, we endeavor to make hiring decisions that will continue to grow and support our team in the direction of cultural diversity and sustainability.

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