Top 20 Senior laboratory analyst Jobs in New York Ny

Senior Metadata and Standards Specialist
NYU Langone Health —New York, NY
- $121,792.22 - $162,052.80 a year
- Online Application
- Computer Science
- 5 years
- Master's degree
- Wellness program
Senior Data Analyst (PhD)
NYU Langone Health —New York, NY
- $70,727.81 - $106,180.20 a year
- Online Application
- 3 years
- University
- Bachelor's degree
- Wellness program
Senior Policy Analyst, OEA Deputy Commissioner
Agency DEPT OF HEALTH/MENTAL HYGIENE —Queens, NY
- $98,140 a year
- Full-time
- Microsoft Word
- 18 years or older
- Microsoft Excel
- Wellness program
- Health insurance
11d
Senior Grants and Budget Analyst | Finance Accounting Services
Rockefeller University —New York, NY
- $85,000 - $100,000 a year
- Full-time
- Oracle
- Microsoft Outlook
- Mid-level
10d
C# developer Pre-Trade
Talan —New York, NY
- $120,000 - $145,000 a year
- Full-time
- Hybrid work
- Office
- Senior level
- Communication skills
- Commuter assistance
- Paid holidays
Quick Apply
Director, Research and Evaluation, Bureau of Maternal Infant and Reproductive Health
Agency DEPT OF HEALTH/MENTAL HYGIENE —Queens, NY
- $75,443 - $150,000 a year
- Full-time
- 18 years or older
- HIPAA
- Office
- Wellness program
- Health insurance
Application Developer
Public Health Solutions —Long Island City, NY
- $130,000 a year
- Full-time
- System design
- Mid-level
- 3 years
- 403(b) matching
- Commuter assistance
Quick Apply
Sr. Sales Operations Analyst
Beckman Coulter Diagnostics —New York, NY
- $110,000 - $125,000 a year
- Full-time
- Microsoft Access
- 3 years
- Master's degree
- Health insurance
- Dental insurance
Senior Program Manager, Compliance and Reporting
Research Foundation of The City University of New York —New York, NY
- $90,000 - $100,000 a year
- Full-time
- Hybrid work
- SQL
- University
- Bachelor's degree
Quality Control Lab Supervisor- New York City
Prime Matter Labs —Long Island City, NY
- $70,000 - $85,000 a year
- Full-time
- 5 years
- Microsoft Office
- Master's degree
Quick Apply
Grants Analyst | Finance Accounting Services
Rockefeller University —New York, NY
- $65,000 - $75,000 a year
- Full-time
- Oracle
- Microsoft Outlook
- Customer service
10d
Director, Healthcare Services - M&A
Alvarez and Marsal —New York, NY
- $165,000 - $180,000 a year
- Full-time
- CPA
- Bachelor of Science
- Finance
- AD&D insurance
- 401(k)
Senior Director, Business Transformation - East Region
Quest Diagnostics —Clifton, NJ
- $200,000 - $250,000 a year
- Full-time
- Spanish
- Master's degree
- Bachelor's degree
- Employee stock purchase plan
- Disability insurance
Quick Apply
Manager, Epic Beaker Application
Quest Diagnostics —Secaucus, NJ
- $135,000 - $165,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- HIPAA
- Employee stock purchase plan
- Disability insurance
Quick Apply
5d
Epic Sr. Manager, Resolute Billing
Quest Diagnostics —Secaucus, NJ
- $145,000 - $160,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
Quick Apply
Senior Bioinformatics Analyst (AI/ML for Genomics) | Bioinformatics Resource Center
Rockefeller University —New York, NY
- $90,000 - $115,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Sr. Financial Analyst, GPO Finance (open to various locations)
Quest Diagnostics —Secaucus, NJ
- $90,000 - $110,000 a year
- Full-time
- Microsoft Access
- Bachelor of Science
- Mid-level
- Employee stock purchase plan
- Disability insurance
Quick Apply
4d
Director, Healthcare Services - M&A
Alvarez & Marsal —New York, NY
- $165,000 - $180,000 a year
- Full-time
- CPA
- Bachelor of Science
- Finance
- AD&D insurance
- 401(k)
Lab Computing Support Engineer (Onsite)
Cognizant —Rahway, NJ
- $75,000 - $109,000 a year
- Full-time
- Continuous improvement
- In-person
- Communication skills
- Paid parental leave
- Employee stock purchase plan
2d
Lead Java Developer - Market Data
Talan —New York, NY
- $155,000 - $185,000 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- Finance
- Commuter assistance
- Paid holidays
Quick Apply
6d

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Senior Metadata and Standards Specialist

NYU Langone Health -
New York, NY

Apply Now

Job Details

Full-time
$121,792.22 - $162,052.80 a year

Benefits

Wellness program

Qualifications

AI models
Predictive modeling analysis
AI tools proficiency
Big data systems
Master's degree
Machine intelligence
Predictive analytics projects
Machine learning libraries
Machine learning frameworks
Stakeholder relationship building
Stakeholder management

Full Job Description

Job ID: 1159542_RR00118404

Facility: NYU Grossman School of Medicine

Position Type: Full-Time/Regular

Shift: Day

Department: Research, Medicine-Cardio-Clinical Rsch (S1394), NYU Grossman School of Medicine,

Position Summary:

We have an exciting opportunity to join our team as a Senior Data Science Analyst/Engineer.

As part of the Complement-ARIE program, the NYU-Sage New Approach Methodologies (NAMs) Data Hub and Coordinating Center will create a controlled access platform for researchers to share and analyze data from NAMs approaches. The program will build tools to standardize and harmonize NAMs data, store it securely, and provide researchers with powerful analytical and visualization tools.

The successful candidate will co-lead the design and implementation of a comprehensive metadata framework ensuring FAIR (Findable, Accessible, Interoperable, Reusable) compliance and data discoverability across the NAMs Data Hub. This position will extend the C2M2 (Crosscut Metadata Model) to create an integrated framework for NAMs data, develop Common Data Elements (CDEs), integrate terminologies and ontologies for NAMs representation, embed provenance tracking, and author and maintain metadata schemas defining data structures and validation rules to ensure interoperability across all NAMs datasets.

Job Responsibilities:

Metadata Framework Design and Governance

Design and implement FAIR and interoperable metadata framework for NAMs data
Define and maintain metadata schemas, profiles, and validation rules for NAMs data modalities such as clinical, omics, imaging, experimental and observational data
Integrate provenance models (e.g., PROV-O) into the metadata framework
Develop comprehensive metadata dictionaries
Oversee metadata versioning, changemanagement, and deprecation processes, ensuring release notes, impact assessments, and backwardcompatibility
Establish metadata quality assessment frameworks
Ensure metadata standards and implementations align with institutional and external policies including privacy, access control, and data use conditions

Ontologies, Terminologies, and Semantic Modeling

Select and integrate appropriate reference terminologies and ontologies for NAMs data representation into a comprehensive NAMs ontology framework
Perform gap analysis and define mappings and crosswalks between local terminologies and reference ontologies
Design semantic models using RDF/OWL, SKOS, JSON-LD, and related standards to enable machine-interpretable, ontology-driven data integration and reasoning
In collaboration with the engineering team, integrate NAMs terminologies and ontologies with existing Standardized Vocabularies and align Metadata schemas with an evolving CDM

Metadata and Ontology Workflows

Collaborate with data engineering and analytics teams to integrate metadata and ontology services into NAMs Hub pipelines and analytical platforms
Participate in the adoption of emerging AI-enabled tools for metadata extraction, enrichment, and quality assurance
Use AI-assisted coding tools to accelerate development of schemas, validation scripts, and queries

Collaboration and Community Engagement

Develop and deliver training and guidance materials on metadata, ontologies, and FAIR data for internal teams and external collaborators
Coordinate multi-institutional metadata and standards activities, including consensus-building, review cycles, and formal approval processes
Participate in the Standardization Workgroup to develop and refine standards
Collaborate with related data standard organizations such as CFDE and OHDSI to align NAMs metadata standards with their data models and standardized vocabularies.

Minimum Qualifications:

To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Stascs, Mathematics or similar field) and
5-7 years of experience in machine learning/ data science.
Proficiency in at least one programming language (Python, R) and machine learning tools (scikitlearn, R)
Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets
Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)

Preferred Qualifications:

PhD degree
Demonstrated track record of successfully applying metadata and data standards to research or operational datasets in any biomedical field, with tangible outcomes such as improved interoperability, FAIRness assessments, or adoption by external stakeholders
Deep knowledge of FAIR principles and their practical application
Strong understanding of metadata standards including Dublin Core, DataCite, DCAT, PROV-O, and Schema.org
Experience with RDF, SKOS, SPARQL, and semantic web standards for metadata representation
Knowledge of controlled vocabularies, taxonomies, and ontologies for metadata annotation
Experience with schema definition languages (e.g., LinkML) and validation frameworks
Knowledge of and practical experience with biomedical terminologies and ontologies
Strong analytical skills for metadata modeling and information architecture
Excellent documentation skills with ability to create clear technical specifications and guidelines
Strong communication skills for training and stakeholder engagement
Demonstrated ability to work collaboratively in multi-institutional research environments
Experience with version control systems for managing schemas and documentation
Experience with Common Fund Data Ecosystem (CFDE) and the C2M2 metadata model
Understanding of biomedical data types including genomics, imaging, and laboratory data
Knowledge of OMOP CDM and Standardized Vocabularies
Published work on metadata standards or FAIR data implementation
Experience coordinating metadata and data standardization initiatives across multiple institutions
Experience with automated metadata extraction and enrichment tools
Familiarity with AI/ML tools and methods, including their application to metadata enrichment, automated annotation, or standards development workflows
Familiarity with NAMs methodologies and alternative testing approaches

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 $121,792.22 – $162,052.80 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

Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.

Apply for This Position Apply as Current Employee

About NYU Langone Health

Be Where Everyone Is Dedicated to Exceptional Care

NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.

Our Hiring Process

Joining Our Team

Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.

Step 1

Apply Online

The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.

Step 2

Schedule Interviews

If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.

Step 3

Receive Offer

If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.

Step 4

Training & Orientation

You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.

Apply Now

Refine Your Search

senior laboratory analyst jobs in new york ny

Senior Metadata and Standards Specialist

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