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Bioinformatics Data Engineer Jobs (NOW HIRING)

Bioinformaticist

Mclean, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Sr. Data Engineer

Madison, WI · On-site

$114.10K - $137.10K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Sr. Data Engineer

Madison, WI · On-site

$115.40K - $138.50K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Sr. Data Engineer

Madison, WI · On-site

$114.10K - $137.10K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Sr. Data Engineer

Madison, WI · On-site

$115.40K - $138.50K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Sr. Data Engineer

Madison, WI

$115.40K - $138.60K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics ...

Sr. Data Engineer

$117.20K - $140.70K/yr

Job Summary : Trans Ova Genetics is a company focused on animal genetics and bioinformatics. They are seeking a Sr. Data Engineer responsible for designing, developing, and maintaining data ...

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

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Showing results 1-20

Bioinformatics Data Engineer information

See salary details

$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:
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.
Staff Bioinformatics / Machine Learning Scientist

Staff Bioinformatics / Machine Learning Scientist

Exact Sciences

La Jolla, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Exact Sciences rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

19th of 103 rated laboratories


Job description

Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

Staff Bioinformatics and Machine Learning Scientist will lead the development and application of machine learning, statistical modeling, and bioinformatics for next-generation sequencing-based products. This individual will serve as a senior technical leader within Research and Development, working cross-functionally with bioinformatics, assay development, data engineering, software development, quality and product development teams.

The ideal candidate has deep experience analyzing large and complex biological datasets in an industry setting and has demonstrated successful development, validation and deployment of algorithms, statistical and machine learning models using principled and reproducible methodology.

This is a senior individual contributor role requiring strong scientific and technical leadership, and the ability to translate complex genomic data into insights and products.

Essential Duties

Include, but are not limited to, the following:

  • Lead the development, evaluation and optimization of machine learning and statistical models for high-dimensional NGS and genomics datasets.
  • Design and implement bioinformatics algorithms to support NGS assay development, analytical performance evaluation, quality control, signal detection, classification, or interpretation.
  • Collaborate with wet-lab scientists to design experiments, interpret results, identify technical issues, and recommend next steps.
  • Apply rigorous statistical and computational methods to evaluate assay performance, reproducibility, robustness, sensitivity, specificity, and sources of technical or biological variation.
  • Develop reproducible analysis workflows using modern bioinformatics, data science, and software engineering practices.
  • Work within cloud computing environments to process, analyze, and manage large-scale sequencing datasets.
  • Present and summarize complex technical findings effectively to cross-functional audiences.
  • Serve as subject matter expert for NGS bioinformatics, machine learning and statistical analysis.
  • Identify opportunities and build out proof of concept implementations for new state-of-the-art methodology across machine learning, bioinformatics and software engineering
  • Provide guidance and mentorship to junior team members.
  • Support development activities within a quality-managed or regulated environment.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company’s Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to work on a computer and phone simultaneously.
  • Ability to travel 10% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications

  • Ph.D. in bioinformatics, computational biology, computer science, mathematics, or related field; or Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a Ph.D.; or Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of Ph.D.
  • 8+ years of industry or academia experience in bioinformatics.
  • 6+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Demonstrated experience in developing statistical and quantitative methods.
  • Deep knowledge and thorough understanding of molecular biology and/or biochemistry and/or next-generation sequencing (NGS) and genomics.
  • Demonstrated expertise in product/assay research, design, or development.
  • Basic computer skills to include Internet navigation, Email usage, and word processing. Proficient in Microsoft Office to include Excel, Word, and PowerPoint.
  • Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

Preferred Qualifications

  • 10+ years of experience in medical device/IVD, biotech, life science or pharmaceutical industry.
  • Deep expertise in NGS bioinformatics and genomic data analysis.
  • Practical experience effectively leveraging AI in regulated environments
  • Experience with modern cloud-based MLOps systems
  • Experience developing and applying advanced linear and non-linear statistical learning methods on complex datasets, including but not limited to supervised and unsupervised machine learning techniques.
  • Familiarity with applying deep learning to high dimensional data.
  • Previous experience as a project lead for a team of scientists.
  • 2+ years of direct people leadership and management experience.
  • Experience in a pharmaceutical or biotech manufacturing environment, preferably in a GMP and/or ISO environment.
  • Previous industry experience in product development or technical support.
  • Previous experience working in molecular diagnostics.
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Salary Range:

California Ranges: $154,400.00 - $231,600.00

 

The annual base salary shown is for this position located in US - CA - La Jolla on a full-time basis. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.


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