1

Bioinformatic Engineer Jobs in Washington (NOW HIRING)

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

Data Engineer

Bethesda, MD · On-site

$122K - $146K/yr

... bioinformatic algorithms and developing cloud-ready tools and pipelines. Responsibilities : • You ... developers to design, develop, test, and maintain programs for NCBI's world's premier biomedical ...

Data Engineer

Bethesda, MD · On-site

$122K - $146K/yr

... bioinformatic algorithms and developing cloud-ready tools and pipelines. Responsibilities : • You ... developers to design, develop, test, and maintain programs for NCBI's world's premier biomedical ...

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

Showing results 21-40

Bioinformatic Engineer information

See Washington salary details

$37.4K

$101K

$160.8K

How much do bioinformatic engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for bioinformatic engineer in Washington is $101,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $123,500.00 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 are 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.

What skills and qualifications are needed to thrive as a bioinformatic engineer?

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 is a bioinformatic engineer?

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.
What are popular job titles related to Bioinformatic Engineer jobs in Washington? For Bioinformatic Engineer jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Bioinformatic Engineer jobs? Cities in Washington with the most Bioinformatic Engineer job openings:

Program Principal Engineer

BCC-NIH

Bethesda, MD • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

Overview

Black Canyon Consulting (BCC)  is searching for a Program Principal Manager (C++ Software Developer) to support our work at the National Institutes of Health (NIH). This opportunity is full time and onsite/hybrid at the NIH in Bethesda, MD.

Duties & Responsibilities:
  • Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems
  • Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms
  • Learn new technologies, keep up with internal systems, and share your knowledge with the team
Required qualifications:
  • 3+ years of experience handling large amounts of data or working in a distributed computing environment
  • Programming experience in a Linux environment
  • Proficiency in C++
  • Experience with MS SQL server and relational database design and optimization
  • Fluency in some scripting languages such as BASH, csh, Perl, or Python
Preferred qualifications:
  • 5+ years of working with genetic and biological data
  • Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems
  • Experience with MongoDB or other NoSQL database technology
  • Experience with Docker or other containerization mechanisms
  • Experience with CI/CD pipelines, unit testing, integration and regression testing
  • Experience using GitHub
  • Experience with Cloud technologies a strong plus

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!