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Bioinformatics Data Engineer Jobs in Princeton, NJ

NYULMC

Sr. Bioinformatics Developer

New York, NY · On-site

  • Medical

  • Retirement

NYU Langone Health seeks an experienced Bioinformatics Developer to design, develop, and implement ... Genetic Data Harmonization & Integration * Harmonize and standardize molecular testing data from ...

New

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

  • Medical

  • Retirement

We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer working in a ... data in clinical diagnostic assays • Use existing bioinformatics pipelines to analyze the ...

Biohub

Staff/Senior Staff Data Engineer

New York, NY · On-site +1

$270K - $338K/yr

  • Retirement

  • PTO

The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy ... Background in computational biology, bioinformatics, or life sciences and experience with genomics ...

micro1 AI

Bioinformatics Software Engineer

New York, NY · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

IBX

Bioinformatician III

Piscataway, NJ · On-site

Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools ... Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

Bioinformatics Proven expertise (2-3 years) in - * Genomic data analysis using contemporary tools ... Programming Proven expertise (1-2 years) in - 1. PHP7 and/or Python based development. 2. R ...

DualEntry

Analytics & Data Engineering (Lead or Head)

New York, NY · On-site

$135K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As our Lead Analytics & Data Engineer you'll drive both data infrastructure and data insights ... Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer ...

Legend Biotech US

Principal Bioinformatician

Somerset, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... correlating biomarker data with: Clinical outcomes, PK/PD measurements, Safety for Patient ... Build and maintain reproducible and scalable bioinformatics pipelines using cloud or high ...

Formation Bio

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

About the Position As a Senior 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 Aug 13, 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.

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 does a bioinformatics data engineer do?

A bioinformatics data engineer designs, develops, and maintains data pipelines and infrastructure to process large biological datasets. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, accurate, and efficiently managed for research and analysis purposes.

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 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 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 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

Sr. Bioinformatics Developer

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

Posted 3 days ago

New

NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

13th of 887 rated healthcare providers

Job description


NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Sr. Bioinformatics Developer.
NYU Langone Health seeks an experienced Bioinformatics Developer to design, develop, and implement end-to-end molecular testing data integration pipelines. This role will focus on harmonizing multi-vendor genomic data from clinical molecular testing platforms and building automated data transformation pipelines to load standardized datasets into cBioPortal, OMOP Genomics Extensions, and other analytics platforms. The ideal candidate combines strong software engineering skills with deep domain expertise in cancer genomics, clinical molecular testing, and bioinformatics data standards.
Job Responsibilities:
Genetic Data Harmonization & Integration
  • Harmonize and standardize molecular testing data from multiple vendors including Foundation Medicine, Guardant Health, Tempus, and in-house PACT testing platforms
  • Process and integrate VCF, XML, and BAM format files across all vendors and test types (somatic, germline, liquid biopsy, solid tumor) at gene and alteration levels
  • Convert vendor-specific formats (Foundation Medicine CNV/rearrangements, Guardant data) to common standardized formats
  • Map genomic variants to common standards including HGVS nomenclature
  • Implement annotation pipelines to uniformly annotate variants, enabling clear distinction between clinically relevant and other variants
  • Build automated data transformation and loading pipelines to ingest harmonized molecular testing data into cBioPortal, OMOP-CDM and its relevant genomics extensions, and Tableau
  • Develop end-to-end workflows that orchestrate the complete process from data harmonization through loading into multiple analysis systems
  • Design scalable, extensible, and modular pipeline architectures that facilitate future integration of new data sources
  • Implement robust data validation and quality control processes to ensure data integrity throughout the pipeline
  • Coordinate with NYU engineering teams to deploy and test solutions in production environments

Precision Medicine & Translational Research Support
  • Support development and validation of AI/ML-based risk assessment models using integrated genomic and clinical data from harmonized molecular testing datasets
  • Contribute to deep phenotyping initiatives by linking molecular testing results with comprehensive clinical phenotype data to enable genotype-phenotype correlation studies
  • Build and maintain precision medicine decision support pipelines that integrate genetic and molecular testing data to inform treatment selection and clinical trial matching
  • Develop data transformation workflows to support translational research studies linking molecular alterations to clinical outcomes and treatment responses
  • Create data marts and analytical datasets from harmonized molecular testing data to enable precision oncology research and biomarker discovery
  • Collaborate with clinical and research teams to validate clinical utility of genomic variants and support evidence-based precision medicine initiatives

Architecture & Requirements Analysis
  • Lead business analysis and requirements gathering to document systems architecture and software design for molecular testing data flows
  • Produce detailed technical specifications and design documents for scalable data integration solutions
  • Develop project plans with clear implementation, testing, validation, and deployment milestones
  • Architect solutions that support future extensibility to additional data sources and analysis platforms

Documentation, Training & Knowledge Transfer
  • Create comprehensive technical documentation for all pipelines, data transformations, and system configurations
  • Deliver source code, configuration files, and documentation organized in designated repositories (e.g., Git)
  • Provide training and handoff to NYU informatics teams to enable ongoing maintenance after deployment
  • Ensure all digital artifacts are well-organized and accessible for future extensions
  • Work with NYU molecular oncology and informatics teams to validate data transformations and confirm usability in cBioPortal

Minimum Qualifications:
  • Master's degree in Bioinformatics, Computational Biology, Computer Science, or related field required; PhD preferred
  • 5+ years of hands-on experience developing bioinformatics pipelines for genomic data processing
  • Demonstrated experience with cBioPortal data integration, including file format specifications, data loading, and validation
  • Proven track record building data harmonization pipelines for multi-vendor clinical molecular testing data
  • Experience working with clinical cancer genomics data from commercial testing vendors (Foundation Medicine, Guardant, Tempus, or similar)
  • Experience supporting translational research or precision medicine initiatives in academic medical center or clinical research setting
  • Expert proficiency in Python for bioinformatics pipeline development and data transformation
  • Strong experience with genomic file formats: VCF, BAM, XML, and variant annotation formats
  • Solid understanding of HGVS nomenclature and genomic variant standardization
  • Experience with cBioPortal data models, file formats, and data loading procedures
  • Proficiency with SQL and relational databases (MySQL, PostgreSQL)
  • Experience with version control systems (Git/GitHub) and collaborative software development
  • Knowledge of OMOP Common Data Model concepts and implementation

Preferred Qualifications:
  • Experience with workflow orchestration tools (Nextflow, Snakemake, Apache Airflow, or similar)
  • Familiarity with containerization (Docker, Kubernetes) for reproducible pipeline deployment
  • Knowledge of Tableau or other business intelligence platforms for genomic data visualization
  • Experience with Java for cBioPortal backend customization
  • Understanding of cloud platforms (AWS, GCP, Azure) for bioinformatics infrastructure
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) for clinical prediction models
  • Knowledge of statistical analysis tools (R, Python pandas/scipy) for biomarker analysis
  • Domain Knowledge:
  • Deep understanding of cancer genomics: somatic mutations, copy number variations, structural rearrangements, germline variants
  • Knowledge of clinical molecular testing workflows and laboratory data management
  • Familiarity with variant annotation databases and clinical relevance classification (OncoKB, CIViC, ClinVar)
  • Understanding of solid tumor vs. liquid biopsy testing methodologies
  • Knowledge of precision oncology applications and clinical genomics data integration
  • Understanding of genotype-phenotype relationships and molecular tumor boards
  • Awareness of pharmacogenomics and targeted therapy selection principles
  • Strong analytical and problem-solving skills with attention to detail in data quality and validation
  • Excellent written and verbal communication skills for technical documentation and cross-functional collaboration
  • Ability to work independently and manage complex projects with multiple stakeholders
  • Experience translating scientific and clinical requirements into technical specifications
  • Commitment to software engineering best practices including testing, documentation, and code quality

Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.93 - $135,224.49 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
To view the Pay Transparency Notice, please click here

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