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Bioinformatics Data Engineer Jobs in Princeton, NJ

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $80K/yr

... data integration, bioinformatic method development, and translational human studies. Specific ... Strong programming skills in Python and/or R are required. Experience with the analysis of multi ...

Formation Bio

Principal Data Scientist

New York, NY · On-site

$204K - $267K/yr

About the Position As a Principal Data Scientist at Formation Bio, you will be at the forefront of ... programming skills, particularly in Python * Extensive experience in multi-modal bioinformatics ...

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All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in Princeton, NJ

Bioinformatics Data Engineer information

See Princeton, NJ salary details

$45.1K

$137.4K

$250K

How much do bioinformatics data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for bioinformatics data engineer in Princeton, NJ is $137,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $164,600.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are popular job titles related to Bioinformatics Data Engineer jobs in Princeton, NJ?

For Bioinformatics Data Engineer jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Engineer jobs in Princeton, NJ look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Bioinformatics Data Engineer jobs?

Cities near Princeton, NJ with the most Bioinformatics Data Engineer job openings:

Bioinformatics Data Engineer jobs near you

Post Doctorate Associate

New York University

New York, NY • On-site

$65K - $80K/yr

Full-time

Re-posted 18 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities

Job description

Description
POSTDOCTORAL ASSOCIATE
New York University Tandon School of Engineering
The Gibbons Lab at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work in computational microbiome science and precision medicine.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Gibbons Lab, will be housed within the Institute for Engineering Health (IEH), an interdisciplinary center that integrates engineering, medicine, and the biological sciences to advance healthcare discovery, prevention, and treatment. Dr. Gibbons is an international leader in the development of computational and experimental tools for studying the ecology, evolution, and function of host-microbiome systems, with applications in precision nutrition and personalized medicine.
Responsibilities
Candidates will be responsible for the design, execution, and dissemination of research projects spanning computational modeling of gut microbial communities, multi-omic data integration, bioinformatic method development, and translational human studies.
Specific activities may include:
  • building and validating community-scale metabolic models of the human gut microbiome using tools such as MICOM;
  • analyzing large-scale metagenomic, metabolomic, transcriptomic, and clinical datasets from human cohorts; contributing to the design and analysis of dietary and drug/treatment intervention trials in collaboration with clinical partners at NYU Langone;
  • investigating within-host evolutionary dynamics of gut commensal bacteria and the health consequences of these dynamics; exploring gut-brain axis mechanisms mediated by microbiome-derived metabolites;
  • developing and maintaining open-source bioinformatic tools for the microbiome research community;
  • preparing manuscripts for peer-reviewed publication and presenting findings at national and international conferences;
  • actively contributing to lab meetings, journal clubs, and the broader NYU scientific community.

Salary range
In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $65,000-$80,000, depending on the candidate's experience and qualifications.
Qualifications
Qualifications
Candidates should have a PhD in computational biology, bioinformatics, microbiology, genomics, systems biology, bioengineering, evolutionary biology, ecology, biophysics, applied mathematics, or a related quantitative field. Strong programming skills in Python and/or R are required. Experience with the analysis of multi-omic datasets (e.g., metagenomics, metabolomics, transcriptomics) and familiarity with gut microbiome research are expected. Familiarity with constraint-based metabolic modeling (e.g., flux balance analysis) and/or machine learning is a plus. Strong written and oral communication skills, interdisciplinary curiosity, a collaborative spirit, and a demonstrated commitment to reproducible and open science are essential.
Candidates for the within-host evolution track should have a strong background in population genomics, comparative genomics, or evolutionary biology. Experience with variant calling, metagenome-assembled genome (MAG) reconstruction, or strain-resolved metagenomic analyses is expected. Familiarity with evolutionary theory as applied to microbial populations-including natural selection, genetic drift, and horizontal gene transfer-is essential.
Experience with single-cell approaches and longitudinal sampling designs is a plus. An interest in linking microbial evolutionary dynamics to host health phenotypes in human cohort data is strongly valued.
Candidates will be required to present eligibility to work in the United States.
Application Instructions
Applicants should submit, as one pdf, the following information:
  • an up-to-date CV that includes a complete list of publications,
  • a research statement that describes their interest and goals and how their research relates to this position,
  • copies of up to three relevant scientific papers,
  • names and contact information for three references.

All application materials should be submitted electronically via Interfolio and to: sgibbons@isbscience.org
Review of applications will begin as soon as possible and will continue until the position is filled. Expected start date is: September 1, 2026, with flexibility for the right candidate.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Year founded

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