Data Integration & Metadata Specialist

Data Integration & Metadata Specialist
Position Summary
The Data Integration & Metadata Specialist will be responsible for the design, development, implementation, validation, and maintenance of metadata ingestion, reconciliation, and integration workflows supporting computational pathology, digital pathology, and translational research initiatives. This role serves as a critical bridge between laboratory operations, image analysis platforms, enterprise data systems, and downstream analytics environments by ensuring that image data and associated metadata are accurately captured, standardized, traceable, and accessible throughout the data lifecycle.
The successful candidate will support the development of automated and semi-automated workflows that integrate pathology images, sample metadata, laboratory information, and analytical outputs into enterprise Image Management Systems and scientific data repositories. This individual will work closely with computational scientists, pathologists, data engineers, laboratory personnel, bioinformaticians, and IT teams to establish scalable data integration processes that support biomarker discovery, digital pathology workflows, and regulatory-compliant research activities.
The role requires expertise in metadata management, ETL development, database systems, API integration, data quality assurance, and scientific data governance within pharmaceutical, biotechnology, or life sciences environments. Key Responsibilities
Metadata Management & Reconciliation

• Design, implement, and maintain metadata management processes supporting computational pathology and digital pathology workflows.
• Develop metadata mapping standards and data dictionaries for pathology images, laboratory data, and analytical outputs.
• Perform metadata reconciliation activities across multiple source systems to ensure data consistency and integrity.
• Establish metadata quality controls and validation procedures to identify discrepancies and data anomalies.
• Support metadata harmonization initiatives across laboratory, imaging, and enterprise systems.
• Ensure traceability and lineage of image-derived data throughout the research lifecycle.

Data Integration & Workflow Development

• Design and develop automated and semi-automated metadata ingestion workflows into enterprise Image Management Systems.
• Build and maintain ETL (Extract, Transform, Load) processes supporting scientific data integration.
• Integrate pathology image metadata, laboratory data, sample information, and analytical outputs into centralized repositories.
• Develop scalable workflows that support high-volume image and metadata processing.
• Collaborate with scientific and technical teams to define integration requirements and system interfaces.
• Optimize data pipelines to improve efficiency, accuracy, and reliability.

Image Management System Support

• Support integration and maintenance of metadata workflows within digital pathology and image management platforms.
• Ensure image metadata is accurately associated with tissue samples, study identifiers, biomarker data, and analysis results.
• Collaborate with computational pathology teams to facilitate downstream image analysis activities.
• Support deployment and testing of metadata ingestion solutions.
• Troubleshoot issues related to image management systems and metadata synchronization.

Database Administration & Data Architecture

• Develop and maintain database structures supporting metadata storage and retrieval.
• Create and optimize database queries, stored procedures, and reporting mechanisms.
• Ensure database performance, integrity, and scalability.
• Support structured and unstructured data management initiatives.
• Assist in development of data models supporting digital pathology and translational research workflows.
• Collaborate with enterprise data management teams on architecture and governance initiatives.

API Development & System Integration

• Develop and support API-based integrations between laboratory systems, image management platforms, and analytical environments.
• Configure and maintain interfaces connecting:
  • Laboratory Information Management Systems (LIMS)
  • Image Management Systems (IMS)
  • Digital pathology platforms
  • Data repositories
  • Analytics environments
• Troubleshoot integration issues and coordinate resolution efforts across technical teams.
• Support validation and deployment of system enhancements and upgrades.

Data Quality & Validation

• Develop data validation protocols and quality assurance procedures.
• Perform audits of metadata and integrated datasets to ensure completeness and accuracy.
• Investigate data discrepancies and implement corrective actions.
• Monitor workflow performance and establish metrics for data quality.
• Support validation activities for metadata ingestion workflows and system integrations.
• Ensure compliance with organizational data governance standards and Good Documentation Practices (GDP).

Scientific Data Governance

• Support implementation of data governance frameworks for pathology and imaging datasets.
• Develop and maintain standard operating procedures (SOPs), work instructions, and technical documentation.
• Ensure compliance with data integrity principles, traceability requirements, and organizational policies.
• Participate in governance reviews, audits, and quality assessments.
• Assist in development of standards for metadata capture, storage, and management.

Cross-Functional Collaboration

• Collaborate with:
  • Computational Pathologists
  • Data Scientists
  • Image Analysis Scientists
  • Bioinformaticians
  • Histotechnologists
  • Laboratory Scientists
  • IT and Infrastructure Teams
• Gather business requirements and translate them into technical solutions.
• Support project planning, implementation, and milestone execution.
• Participate in project governance meetings and stakeholder reviews.
• Provide technical guidance on metadata and integration best practices.

Education Requirements
Required
Bachelor's degree in one of the following disciplines:

• Computer Science
• Information Systems
• Data Science
• Bioinformatics
• Software Engineering
• Biomedical Informatics
• Biological Sciences with significant data management experience
• Related technical discipline

Preferred
Master's degree in:

• Data Science
• Information Systems
• Computer Science
• Bioinformatics
• Biomedical Informatics
• Data Engineering
• Related discipline

Experience Requirements
Required

• 5+ years of experience in:
  • Data integration
  • Metadata management
  • Scientific data systems
  • Data engineering
  • Information management
• Experience supporting pharmaceutical, biotechnology, healthcare, CRO, or life sciences organizations.

Preferred

• Experience supporting digital pathology, laboratory informatics, or translational research environments.
• Experience working within regulated scientific environments.
• Experience supporting enterprise scientific platforms and research data ecosystems.

Required Technical Expertise
Metadata Management

• Metadata mapping and reconciliation
• Data lineage and traceability
• Data standards development
• Master data management
• Data governance principles

Data Integration

• ETL workflow development
• Data transformation and migration
• Workflow automation
• System integration
• Data pipeline optimization

Database Technologies

• SQL
• Relational databases
• Data modeling
• Query optimization
• Database administration concepts

Preferred:

• SQL Server
• PostgreSQL
• Oracle
• Snowflake

Programming & Scripting

• Python
• SQL
• PowerShell (preferred)
• API scripting and automation

Integration Technologies

• REST APIs
• Web services
• API integration frameworks
• Data exchange protocols
• JSON and XML processing

Scientific Systems
Laboratory Systems

• Laboratory Information Management Systems (LIMS)
• Sample tracking systems
• Scientific data repositories

Imaging Systems

• Image Management Systems (IMS)
• Digital pathology platforms
• Whole-slide image repositories
• Computational pathology environments

Data Quality & Validation

• Data quality assessment
• Data validation methodologies
• Root cause analysis
• Data auditing
• Quality assurance processes

Preferred Qualifications

• Experience supporting computational pathology or digital pathology initiatives.
• Experience integrating image-derived data with laboratory and clinical datasets.
• Familiarity with pathology image formats and associated metadata structures.
• Experience working with cloud-based scientific data environments.
• Knowledge of FAIR data principles (Findable, Accessible, Interoperable, Reusable).
• Understanding of GxP, 21 CFR Part 11, ALCOA+, and data integrity requirements.
• Experience supporting biomarker discovery and translational research programs.

 

Estimated Min Rate: $34.30
Estimated Max Rate: $49.00


What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice