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OfficeJob Description
At Thermo Fisher’s PPD clinical research business, we’re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.
At PPD we know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.
You’ll join a culture that values experimentation, learning, and collaboration — where your ideas can help shape how we deliver life-saving solutions and improve global health outcomes. Whether you’re a data engineer, product manager, software developer, or AI scientist, you’ll find opportunities here to apply your skills to work that truly matters — improving global health outcomes.
Position Summary
The Data Domain Manager, Trial Data (known internally as an Associate Director, IT) is the hands-on owner for their assigned data domain, driving the day-to-day plan, backlog, and delivery under the direction of the Domain Lead. This role goes deep on sources, flows, lineage, quality rules, and semantic layers to make trusted, interoperable, AI-ready data available for product and analytics use cases.
Reporting to the Trial Data Domain Lead in the CRG Digital Data Capabilities organization, the Data Domain Manager works daily with the Data Solutions Architect while partnering closely with Data Platforms, Data Governance, Digital Products, CRG IT/data owners, and external partners to land designs, resolve data issues fast, and evidence value.
Key Responsibilities
Domain Roadmap Input and Execution
Partner with the Trial Data Domain lead to develop the vision and roadmap for your data domain, aligned with CRG Digital product roadmaps and key strategic initiatives. Drive execution against these prioritized roadmaps to ensure trusted, high-quality data is available at the right time. Proactively plan for future innovations and drive exploration of new capabilities, including potential external commercialization of new internal data products and capabilities. Develop and report on metrics and KPIs for assessing data consumption.
Data Source and Flow Stewardship
Based on the strategic roadmap within assigned domain, define data needs and determine internal data availability. Document source systems, tables, interfaces, and lineage; profile data; define and maintain transformation logic and semantic layers. Maintain the domain in the catalog (business definitions, ownership, lineage, policies, sample queries). Partner with internal stakeholders, Legal, and other teams as needed to address barriers to data access. Contribute to assessments of external partners to address data gaps, and to partnership scoping, business case alignment, negotiations, internal management and external alliance management for external data partners.
Delivery Coordination
Coordinate the technical execution of data delivery within your assigned domain, ensuring that data is available for consumption within CRG Digital’s data platform. Ensure that product/business requirements are translated into technical requirements and that data is appropriately mapped and modeled, applying product management techniques to data models (roadmap, backlog, etc.). Support technical implementation of licensed data products, where relevant, and navigate internal bureaucracy for data contracts, IT access, audits, etc. Coordinate support and usage guidance for integrations of external data products into clinical or analytical services.
Stakeholder, Engagement, Enablement & Reporting
Develop and maintain strong relationships with key stakeholders in CRG divisions to ensure alignment and support for data initiatives. Serve as the voice of your domain to Data Domain and Data Capabilities leadership. Explain solutions to non-technical audiences; train users on how to access and use delivered data assets; capture adoption feedback.
Quality, Governance & Compliance
Implement domain-level data quality rules, monitors, and remediation workflows; contribute to defect taxonomy and root cause analysis. Apply mastering and reference-data rules; coordinate with stewards and the Data Governance team on policy alignment and audits.
Required Qualifications:
- Bachelor's degree in Life Sciences, Computer Science, Engineering, or equivalent and relevant formal academic / vocational qualification. Masters preferred.
- Previous data engineering/analytics/governance experience with hands-on SQL and modeling experience that provides the knowledge, skills, and abilities to perform the job (comparable to 10 years’ experience)
- Proven experience mapping complex source systems, building or specifying pipelines/models, and operating DQ/MDM controls.
- Demonstrated success partnering within matrix organizations and external partner teams to deliver complex, regulated data deliverables.
- Understanding of clinical trial operations (recruitment, start-up, clinical operations, data management, RBM, safety) and associated regulations.
- In some cases, an equivalency, consisting of appropriate education, training, and/or directly related experience will be considered sufficient for an individual to meet the requirements of the role.
Digital Domain Manager Competencies:
Domain Strategy & Roadmapping
- Contributes to strategic vision and rolling 12-month plan for the domain, aligned to CRG Digital product roadmaps and enterprise priorities; with Data Domain Lead, continually reprioritizes the portfolio based on impact, risk, and readiness.
Data Modeling & Semantics
- Translates business needs into technical requirements; partners with Platforms/Engineering to land models, pipelines, and semantic layers in the data platform.
Data Sourcing & External Partnerships
- Analyzes and maps internal sources/flows/lineage and appropriate uses; identifies gaps and helps secure external data through business casing, negotiation, and alliance management.
Governance, Quality & MDM Stewardship
- Works with domain data stewards to drive data quality, MDM and governance decisions; partners with the Data Governance Lead to operationalize policy.
Metadata, Catalog & Lineage Ownership
- Drives cataloging of assets (in conjunction with Data Governance Lead) with business definitions, lineage, and ownership; maintains reference/canonical semantics.
Stakeholder Engagement & Reporting
- Aligns data owners, product owners, and delivery teams without direct authority; drives adoption through narratives, education, and enablement. Provides clear status/risks/metrics to the Domain Lead and product teams; supports demos, readouts, etc.
Partner Management
- Holds vendors to outcomes; fosters a collaborative, inclusive, continuous-improvement culture.
Clinical Domain Expertise (Contextual Fluency)
- Understands clinical trial operations and related processes (e.g., study start-up, data management, RBM, safety) to ensure data strategy meets real-world needs.
Innovation & Future Readiness
- Scans internal/external capabilities; sequences pragmatic pilots that advance interoperability, reusability, and AI enablement; evaluates commercialization where relevant.
Data Storytelling & Influence
- Contributes to narratives linking data product delivery to business value.
Preferred Qualifications
- Experience in a CRO, eClinical data provider, pharmaceutical/biotech company, or digital health/data startup.
- Experience in regulated data environments (e.g., clinical/GxP/Part 11/GDPR/HIPAA).
- Existing understanding of data landscape within assigned domain.
- Experience in making data AI/ML ready.
At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience:
- Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
- Able to work upright and stationary for typical working hours.
- Ability to use and learn standard office equipment and technology with proficiency.
- Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
- May require as-needed travel (0-20%).
Location: Remote US (East Coast preferred). Relocation assistance is NOT provided.
*Must be legally authorized to work in the United States without sponsorship.
*Must be able to pass a comprehensive background check, which includes a drug screening.
The annual salary range estimated for this position is $130,000- $180,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy.
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About Thermo Fisher

Thermo Fisher
PublicThermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.
10,001+
Employees
Waltham
Headquarters
Reviews
3.9
2 reviews
Work Life Balance
3.5
Compensation
2.5
Culture
3.5
Career
4.0
Management
3.0
65%
Recommend to a Friend
Pros
Large company with extensive resources
Structured internship program
Career opportunities in product management
Cons
Low compensation ($22/hour)
High cost of living in location
Expensive housing/rent
Salary Ranges
2,260 data points
Mid/L4
Mid/L4 · Adobe Analytics Launch Developer
1 reports
$137,796
total / year
Base
$105,997
Stock
-
Bonus
-
$137,796
$137,796
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
12%
Experience
Positive 12%
Neutral 63%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Panel Interview
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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