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$33K

$89.2K

$142K

How much do bioinformatic engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for bioinformatic engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatic Engineer vs Bioinformatics Analyst?

AspectBioinformatic EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisAnalyzes biological data, interprets results, and reports findings

While both roles involve biological data, Bioinformatic Engineers focus on developing computational tools and pipelines, whereas Bioinformatics Analysts primarily interpret data and generate insights. Both positions require similar educational backgrounds and are vital in research and healthcare settings, but their core responsibilities differ in development versus analysis.

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.

What are some common challenges faced by Bioinformatic Engineers when working with large-scale genomic data?

Bioinformatic Engineers often encounter challenges related to managing and processing vast amounts of genomic data, which can require significant computational resources and efficient data handling strategies. Ensuring data integrity, reproducibility of analyses, and effective collaboration with multidisciplinary teams of biologists, statisticians, and software developers are also key aspects of the role. Staying updated with the latest bioinformatics tools and pipelines is essential, as the field evolves rapidly. Overcoming these challenges requires strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatic engineers. Professionals in this field will continue to develop, interpret, and validate computational models, requiring expertise in biology, programming, and data analysis. AI complements human skills rather than replacing them entirely in bioinformatics roles.

What are the key skills and qualifications needed to thrive as a Bioinformatic Engineer, and why are they important?

To thrive as a Bioinformatic Engineer, you need a strong background in computational biology, programming (such as Python or R), statistics, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (like BLAST, GATK, or Bioconductor), data analysis platforms, and experience with databases such as SQL are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are essential for accurately analyzing biological data, deriving meaningful insights, and facilitating research or clinical advancements.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those with significant leadership responsibilities may also reach this compensation level.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Executive-level engineering roles or those in leadership positions may also reach this compensation level.

What are Bioinformatic Engineers?

Bioinformatic Engineers are professionals who develop and apply computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and genetic information. They combine expertise in computer science, biology, and mathematics to process large datasets generated by modern biological experiments. Their work supports research in areas like genomics, drug discovery, and personalized medicine by helping scientists make sense of complex biological data.
More about Bioinformatic Engineer jobs
What cities are hiring for Bioinformatic Engineer jobs? Cities with the most Bioinformatic Engineer job openings:
What states have the most Bioinformatic Engineer jobs? States with the most job openings for Bioinformatic Engineer jobs include:
What job categories do people searching Bioinformatic Engineer jobs look for? The top searched job categories for Bioinformatic Engineer jobs are:
Bioinformatic Engineer jobs near you
Infographic showing various Bioinformatic Engineer job openings in the United States as of July 2026, with employment types broken down into 43% Internship, 10% As Needed, 14% Full Time, and 33% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.
Bioinformatics Software Engineer

Bioinformatics Software Engineer

Harvard University

Boston, MA • On-site

$57/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

133rd of 546 rated colleges and universities

Job description

Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard Medical School?
Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.
You'll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it's an opportunity to shape the future of medicine.
Job Description
Job Summary:
Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept.
Job-Specific Responsibilities:
We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing, developing, deploying, and maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The candidate will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and production environments where reproducibility, scalability, and performance are critical.
Job Description:
  • Design, implement, and maintain bioinformatics pipelines for high-throughput sequencing data (e.g., alignment, QC, variant calling from WGS and RNA-seq) similar to those in existing repositories: https://github.com/smaht-dac/main-pipelines.
  • Build reproducible, well-tested, and automated workflows using workflow management systems (particularly CWL).
  • Architect and manage AWS-based compute infrastructure to support pipeline execution, including automated deployment, scaling, and monitoring.
  • Containerize workflows using Docker or similar tools for managed execution and portability.
  • Integrate CI/CD tooling to automate testing, deployment, and version control to ensure data integrity and correct execution of the pipeline.
  • Develop utility tools for metadata management, file integrity checks or conversion (e.g., VCF, BAM to CRAM), and integration with the SMaHT Data Portal.
  • Collaborate cross-functionally with research scientists, engineers, and IT teams to refine requirements and deliver high-quality solutions.
  • Document code, workflows, and infrastructure configurations clearly.

Qualifications
Basic Qualifications:
  • Minimum of five years' post-secondary education or relevant work experience.

Additional Qualifications and Skills:
  • PhD in computational biology/bioinformatics/statistics/CS or another quantitative field is strongly preferred.
  • Superb programming skills, especially in Python and shell scripting, and communication skills are strongly preferred.
  • Extensive experience with analysis of high-throughput sequencing data and knowledge of bioinformatics tools for sequence alignment, variant calling, sequence data QC, etc.
  • Proficiency in Docker for creating a reproducible execution environment and Workflow Description Language for orchestrating complex tasks.
  • Strong understanding of AWS services (EC2, S3) or similar cloud platforms for compute and storage.
  • Version Control & CI/CD: Git, automated testing, deployment workflows.
  • Experience with Linux systems, HPC, and distributed computing environments.
  • Knowledge of optimizing pipelines for large-scale genomic projects.

Additional Information
  • Appointment End Date: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.
  • Standard Hours/Schedule: 35 hours per week
  • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
  • Pre-Employment Screening: Identity
  • Other Information: Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
  • Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.

#LI-DK1
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University's Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges
This position is salary grade level 057. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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