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Biomedical Data Engineer Jobs in New York (NOW HIRING)

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

... biomedical data and address clinical needs using bioinformatics techniques and tools • Work with MCIIT and HPC team to provide current and future solutions for server, storage and other ...

Jj

Principal Data Scientist - Oncology

Raritan, NJ

Curate and extend ontologies for clear mapping into established biomedical ontologies and ... Programming background in parser combinators, natural language processing, and linked data (RDF ...

Agiliti Health, Inc.

Biomedical Technician

Farmingdale, NY · On-site

$26.50 - $35/hr

Complete all paperwork and computer data entry accurately and promptly to ensure complete ... An associate degree in electronics, mechanical engineering, or biomedical equipment technology.

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Biomedical Data Engineer information

What is a biomedical data engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What are the key skills and qualifications needed to thrive as a biomedical data engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by biomedical data engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in New York?

For Biomedical Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Engineer jobs in New York look for?

The top searched job categories for Biomedical Data Engineer jobs in New York are:

What cities in New York are hiring for Biomedical Data Engineer jobs?

Cities in New York with the most Biomedical Data Engineer job openings:

Biomedical Data Engineer jobs near you
Infographic showing various Biomedical Data Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Bioinformatics Programmer

NYU Langone Health

Manhattan, NY • Hybrid

Full-time

Medical, Retirement

Re-posted 3 days ago

NYU Langone Health rating

8.4

Company rating: 8.4 out of 10

Based on 249 frontline employees who took The Breakroom Quiz

22nd of 898 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, Twitter and Instagram.
 
 
 
Position Summary:
 
We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer working in a Molecular Diagnostics environment. 
 
This position is an onsite role for a minimum of 6 months with the potential for hybrid role after that based on performance. Ability to be onsite 3 to 5 days a week a must (possibility of full remote work is currently not available)
 
NYU Langone Health, a world-class, patient-centered, integrated, academic medical center, and one of the nation’s premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Department of Molecular Pathology working in the field of Clinical Genomics and Precision Medicine.
 
The Molecular Pathology Lab at NYU Langone Health with the Applied Bioinformatics Laboratories (ABL) are seeking a highly motivated, enthusiastic and creative individual to become a member of our clinical bioinformatics team. We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer. The successful candidate will be primarily responsible for the development and maintenance of computational pipelines and work closely with clinicians to develop bioinformatic tools for clinical Next Generation Sequencing (NGS) based diagnostics. In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required.
 
This is a great opportunity to be involved in an innovative environment utilizing and mastering bioinformatics programming skills, develop new analysis tools/pipelines, analyze challenging datasets, and be involved in cutting edge NGS based cancer diagnostics, clinical genomics and hands on precision medicine for the benefit of patients.
 
Job Responsibilities:
 
 
·         Enhance or develop new automated workflows/pipelines within a nextflow environment for bioinformatic tools utilizing next generation sequencing data in clinical diagnostic assays
 
·         Use existing bioinformatics pipelines to analyze the molecular patient data generated in the clinical lab
 
·         Oversee systems support for existing bioinformatics pipelines and develop new pipelines to support new molecular assays
 
·         Support the team in its common clinical genomics and precision medicine goals
 
·         Perform quality control of the generated sequencing data and develop solutions to enhance future performance
 
·         Perform different types of data analysis relating to the genomics-based approaches utilized by the lab, in an independent fashion.
 
·         Develop new methods for multi-omics data analysis and integration
 
·         Work with bioinformatics scientists and clinical pathologists to analyze and interpret patient NGS results for better potential treatment options
 
·         Work with lab users to analyze biomedical data and address clinical needs using bioinformatics techniques and tools
 
·         Work with MCIIT and HPC team to provide current and future solutions for server, storage and other requirements.
 
 
 
Preferred Qualifications:
 
·         Expert in creating customized sequencing analysis pipelines, in applications for data analysis, and executing standard bioinformatics pipelines (relevant examples in a GitHub repository).
·         Basic knowledge and understanding of software engineering concepts
·         Knowledge of algorithms, data structures, machine learning
·         Prior experience working in CLIA environment is a plus
·         Experience in variant calling benchmarking and clinical validation analysis (e.g. concordance, limit of detection, assay reproducibility)
·         Experience with running workflows on public cloud (GCP / AWS)
·         Experience with developing and querying databases using SQL queries
·         Experience with web-development (HTML, CSS, JavaScript, TypeScript and related)
 
Minimum Qualifications:
 
 
·         To qualify you must have a M.Sc. plus a minimum of 3 years’ experience in Bioinformatics, Computer Science, Programming, Software Development, or related field
Previous experience with NGS data and associated bioinformatics tools
·         Experience in Unix/Linux systems including high-performance computing environments
·         Strong programming skills in Python, R, shell scripting
·         Proficiency in Nextflow, Django, Docker and Singularity containers
·         Work experience and algorithm understanding of standard software tools used to generate and manipulate FASTQ, BAM, VCF files including but not limited to BWA, GATK, Picard, samtools, bcftools
·         Knowledge in the analysis of SNV, Indel, CNV and structural variants for both somatic and germline disease, additional understanding of variant annotation
·         Familiarity with various NGS QC principles
·         Knowledge of biology, cancer genomics or an understanding of key and complex biological concepts
·         Detail-oriented, well-organized and an interest in clinical sequencing and disease related or cancer genomics
·         Ability to work independently (e.g., recommend new software or bioinformatic tools, find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results)
·         Team oriented with excellent written and verbal communication skills
·         Ability to function in a multidisciplinary team including MD’s and PhD’s
·     
 
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 $84,577.92 - $105,039.78 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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