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Bioinformatics Data Engineer Jobs (NOW HIRING)

Axle

Bioinformatics Engineer

Rockville, MD · On-site

... and data science applications. They are seeking a Bioinformatics Engineer to join their team ... supporting major pharmaceutical clients, focusing on optimizing and integrating bioinformatics ...

ACL Digital

Bioinformatics Engineer

Foster City, CA · On-site

$80/hr

Associate Scientist - Bioinformatics V / Bioinformatics Engineer Location: Foster City, CA Duration ... Key Responsibiliti es • Plan assembly approaches for non model organisms (data QC, genome ...

Novartis

Senior Expert I, Data Science

San Diego, CA

$126K - $234K/yr

The Oncology Data Science group within Biomedical Research supports the Oncology Disease Area with ... Proficiency in one or more programming languages for bioinformatics applications (e.g., Python, R ...

Contemporaries

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Data Engineer

Durham, NC · On-site

$57 - $63/hr

Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics, Environmental Science, or a related field. * Minimum of three (3) years of professional experience ...

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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 25, 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.

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 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.

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 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.
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:
What job categories do people searching Bioinformatics Data Engineer jobs look for? The top searched job categories for Bioinformatics Data Engineer jobs are:
Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.
Bioinformatics Scientist (Discovery Biology)

Bioinformatics Scientist (Discovery Biology)

Neurona Therapeutics

South San Francisco, CA • On-site

Full-time

Posted 10 days ago

Job description

Bioinformatics Scientist (Discovery Biology)
Neurona Therapeutics is a clinical stage biotechnology company based in South San Francisco focused on the development of neuronal cell-based therapies for neurological diseases. Our ideal candidate is a self-motivated individual who has a passion for scientific research. This is a fantastic opportunity to join a small team, work on transformative science, and take part in building an exciting, science-driven company.
The role:
We are seeking a talented and motivated Bioinformatics Data Scientist to help expand, scale and optimize our single cell transcriptomics and multiomics workflows. In this role, you will collaborate with a small team of experimental and computational R&D scientists and play a key part in expanding our pipeline capabilities towards biomarker discovery, characterization of leading cell therapy product candidates, as well as fuel novel product development. The finalist's job title and leveling will be dependent on experience.
Responsibilities include:
  • Implement and optimize bioinformatics workflows for efficient and accurate single cell RNA sequencing data analysis
  • Collaborate and communicate extensively with multidisciplinary teams within and across departments to conceptualize, execute and analyze experiments in support of internal studies and external collaborations
  • Integrate novel cutting-edge tools and analytical approaches into existing pipelines
  • Contribute to infrastructure and workflow improvements
  • Build and maintain platforms for data visualization
  • Maintain detailed records up to industry standards for reproducible computing (data, code, and environments)
  • Prepare results for internal meetings, grant and patent applications, scientific publications, and regulatory filings

Required Qualifications:
  • PhD degree (or MS + 3 years of experience working in biotech or life sciences) in Bioinformatics, Computer Science, Computer Engineering, Computational Biology, Data Science, Genetics or related field
  • Demonstrated track record, including research publications, working with NGS pipelines
  • Strong understanding and extensive experience with single-cell RNA-sequencing analysis principles, from alignment, assembly, reference mapping, to annotation and visualization
  • Solid foundation in molecular biology and hands-on experience with Illumina sequencing
  • Proficiency in R, Python or similar language, and ability to implement open-source packages
  • Experience with large-scale multiomic data processing, storage, and visualization strategies
  • Competency to read and incorporate newly published approaches for analysis
  • Willingness to expand skill set and contribute to emerging needs in a highly dynamic start-up environment
  • High integrity, great organization and ability to multitask while working within fast-paced timelines
  • Excellent written and verbal communication skills
  • Collaborative team player with a problem-solver mindset
  • Ability to work independently, take ownership over problems and take initiative to improve work processes, develop innovative scientific methodologies and approaches to enhance research productivity

Preferred Qualifications:
  • Experience with single cell ATACseq and spatial transcriptomics
  • General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics
  • Experience building intuitive web tools for bioinformatics analysis
  • Foundational knowledge of neuroscience, stem cell biology, and developmental biology
  • Familiarity with in vitro directed differentiation paradigms from pluripotent stem cells (especially along the neuronal lineage), and molecular characterization of derived cell types
  • 1+ years of wet lab experience is a plus

This job description is not exhaustive and not intended to cover all activities of the position. Duties, responsibilities and activities may change, or new ones may be assigned at any time with or without notice.
Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment.
Interested in learning more about our science and our team? Please visit our website at www.neuronatherapeutics.com.
Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment.
Recruitment Fraud Notice
We are aware of active recruitment scams using the Neurona name, where individuals pose as our recruiters or post fake remote job openings and make fraudulent job offers online. Please note, that we will never make an offer of employment without conducting multiple rounds of face-to-face interviews using secure video-conferencing technology. Additionally, we will never ask candidates to cash checks or make any payment to be considered for a position.
If you believe you have been a victim of a phishing scam, please visit the Cybersecurity & Infrastructure Security Agency (CISA) at https://www.cisa.gov/be-cyber-smart/report-incident to learn how to report it.

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