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Bioinformatic Engineer Jobs in Summit, NJ (NOW HIRING)

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Bioinformatic Engineer information

See Summit, NJ salary details

$35.1K

$94.8K

$150.9K

How much do bioinformatic engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for bioinformatic engineer in Summit, NJ is $94,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $115,800.00 per year, depending on experience, location, and employer.

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 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 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 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 cities near Summit, NJ are hiring for Bioinformatic Engineer jobs?

Cities near Summit, NJ with the most Bioinformatic Engineer job openings:

Bioinformatic Engineer jobs near you
Infographic showing various Bioinformatic Engineer job openings in Summit, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $94,766 per year, or $45.6 per hour.

Senior Software Engineer & Project Lead

Clarity Recruiting

New York, NY

Full-time

Re-posted 13 days ago

Job description

Job Description Our Client, prominent private foundation dedicated to advancing fundamental research across mathematics, the physical sciences, and computational biology, is looking for an experienced Lead Software Engineer to join their NYC based team on full time basis. This is a high-impact, hands-on leadership role responsible for owning technical direction and execution, mentoring a small team of software engineers, and collaborating closely with computational biologists and researchers to translate cutting-edge science into robust, production-grade software tools. Responsibilities Serve as technical lead for the platform, guiding architecture, feature development, and major infrastructure upgrades Lead and mentor a team of full stack software engineers across code quality, workflows, and professional development Design, develop, and optimize scalable genomics data processing pipelines Integrate machine learning methods into production pipelines for heterogeneous biological datasets Establish and enforce engineering best practices: coding standards, version control, documentation, testing, and CI/CD Collaborate cross-functionally with computational biologists, data scientists, and external partners Evaluate emerging technologies in cloud infrastructure, bioinformatics, and scientific computing Minimum Qualifications B.S

in Computer Science, Software Engineering, or related field 10+ years of professional software engineering experience, including team leadership and hands-on involvement in planning, design, and development Proficiency in full stack development Extensive Python experience, including data pipelines and software libraries Demonstrated experience across the full SDLC: testing, CI/CD, version control, deployment Experience building and maintaining web-based applications Background in computational biology, bioinformatics, or a related field Experience working with large, heterogeneous biological datasets, ideally in genomics or biomedical contexts Strong cross-functional communication skills and ability to work across technical and scientific disciplines

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