Scientific Platform Data Operations Manager
Apply Job ID 34377 Date posted 12/08/2025Job Family:
Database Administration (Digital)
Travel Required:
Clearance Required:
What You Will Do:
We are searching fora ScientificPlatform Data Operations Managertosupport futureopportunities.The person in this role will leaddata acquisition, harmonization, processing, and integrityefforts on a variety ofscientific platforms to ensure reproducibility, compliant reporting, andsupporthigh-impact research.They will oversee the integration of diverse clinical and research data,manage secure analyticalenvironments,anddrive data quality and governance.Thisposition will bebasedinBethesda,MD.
Manage data flows between instruments and systems such as ELN, LIMS, data stores, visualization tools, etc.
Lead data harmonization for scientific platforms, oversee harmonization of diverse clinical and research data, ensure interoperability and consistency across platforms and instruments.
Operate tools such as Virscidian Analytical Studio and work with mass spectrometry, Waters Acquity UPLC.
Oversee data processing for Sound Analytics LeadScape, IonField Systems PurePLATE, Grenova TipNovus, UnionBio COPAS Vision Particle Sorter.
Develop data quality frameworks by implementing advanced data quality checks, metadata standards, lineage tracking, dashboards, and feedback mechanisms for platform data partners and users.
Ensure integrity and traceability through the building of dashboards, reports, and audit trails.
Support secure, scalable analytical environments to help build and manage infrastructure for secure, project-specific analytical workspaces while enabling granular data access and institutional control.
Integrate novel data types, facilitate integration of new data sources (e.g., geospatial, environmental) into platform workflows.
Provide technical leadership mentor team members, drive best practices, and translate scientific requirements into technical solutions.
What You Will Need:
Bachelor’s degree in Information Technology, Data Management, Computer Science, or related field.
A minimum of TWO (2) years of platform or laboratory data management experience.
Deep experience with healthcare data models (OMOP, FHIR), clinical terminologies, and regulated environments (FISMA, HIPAA).
Experience with big data technologies, containerization, and workflow management systems.
Proficiency in Python, SQL, or R for data wrangling.
Experience with privacy-preserving record linkage (PPRL), federated data systems, and regulated environments (FISMA, HIPAA).
What Would Be Nice To Have:
Strong architectural mindset for designing scalable, reliable, and secure data platforms.
Familiarity with GxP, data integrity (ALCOA+), and file-based instrument data workflows.
Familiarity with cloud platforms and scalable infrastructure.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
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