Role Description At Insight Molecular Diagnostics (iMDx), our mission is to democratize access to molecular diagnostic testing. Join us and be part of a team that’s redefining what’s possible in healthcare. - Provide project management and operational support to clinical project teams, ensuring alignment with quality standards, timelines, and project specifications. - Set up, maintain, and update clinical databases, including supporting data query resolution and data integrity efforts. - Perform quality control checks and support study initiation activities to ensure accuracy and completeness of clinical data. - Communicate effectively with study sites, trial teams, and external vendors to support study execution. - Establish and maintain methodologies for the design and development of clinical trial systems. - Ensure system designs comply with data management standards and protocol requirements while optimizing functionality, user experience, and data flow. - Lead the design, implementation, and integration of clinical systems (e.g., EDC, CTMS, eTMF), including system enhancements and updates. - Utilize project management tools to track study progress and plan systems-related activities. - Proactively identify risks to timelines or quality and develop mitigation strategies. - Collaborate cross-functionally with internal teams, vendors, and study centers to achieve program and study objectives. - Ensure compliance with federal and local regulations, GCP, ICH guidelines, and organizational quality standards; stay current with evolving regulatory requirements. - Drive cross-functional innovation and process improvement initiatives impacting data and clinical workflows. - Maintain and support current and legacy systems, including enhancements and development of ad hoc queries and reports. - Analyze data to identify trends, generate insights, and support data-driven decision-making. - Write, update, and maintain system requirements and application specifications. Qualifications - Bachelor’s degree in business, management information systems, computer science, life sciences, or a related field; Master’s degree preferred. - Minimum of 3+ years of clinical technology experience. - Experience with industry-standard design and development tools. - In-depth knowledge of clinical trial processes, functions, and key stakeholders. - Strong understanding of CDASH and CDISC data standards. - Proven track record as a key contributor to organizational initiatives and growth. - Demonstrated ability to influence stakeholders without direct authority. - Experience coaching and mentoring within a matrixed environment. - Strong communication and analytical skills. - Foundational ability to perform data analysis and implement data-driven solutions. Requirements - Standing, sitting, walking, bending, reaching, manual manipulation, and lifting 25 pounds. - Ability to have full-body movement. - Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for at least 50% of a typical working day. - Ability to travel 15% domestically and internationally if required. Job Scope, Additional Duties, and Employment Status This job description is intended to provide a general overview of the position and does not include all duties, responsibilities, or tasks that may be assigned. The scope of this role may change at any time based on organizational needs, business priorities, or operational requirements. Employees may be required to perform additional duties outside of the general scope of this position as assigned. Employment with the Company is on an at-will basis, meaning either the employee or the Company may terminate the employment relationship at any time, with or without cause or notice, subject to applicable law. Probationary Period Employment is subject to an initial 90-day probationary period, during which performance, conduct, and overall role fit will be evaluated. Continued employment beyond this period is contingent upon satisfactory performance and alignment with organizational expectations. Why Wait? Apply Today! At iMDx, every role has a purpose, and every team member plays a part in changing lives. Your skills, ideas, and passion could help shape the future of precision medicine—making life-changing healthcare accessible to people everywhere. If you’re ready to do work that truly matters, we’d love to hear your story. Join a team of innovators, problem-solvers, and collaborators who turn complex science into clarity and impact. This is your moment. Don’t wait—apply now and be part of something extraordinary. Together, we can create the future of healthcare.

Role Description IonQ is scaling rapidly across geographies, functions, and acquisitions. As a result, data is increasingly fragmented across systems, teams, and entities. We are hiring a Chief Data Officer to establish the IT-enabled data foundation, architecture, integration patterns, cataloging, and governance workflows needed to make data cohesive, trusted, secure, and usable across existing functional data domains. This role operates horizontally across the organization, partnering with Finance, GTM, HR, IT, Architecture, Security, and Product teams to ensure data is consistent, secure, and usable—without displacing functional ownership. Responsibilities - Enterprise Data Alignment, Source-of-Truth Mapping & Product Integration - Design and drive a common enterprise data framework that connects product, business-system, and functional data domains while preserving functional ownership of domain data. - Establish shared data models, taxonomies, and definition-management processes across core domains (Finance, GTM, People, Operations, R&D), with functional owners accountable for domain-specific business definitions. - Maintain an enterprise registry of authoritative data sources, key data owners, major data flows, dependencies, and downstream reporting/analytics uses. - Partner with product and engineering leaders to ensure data structures support productization and scalability. - Data Governance Enablement, Policy Workflow & Quality - Define and implement data governance operating models that clarify ownership, stewardship, decision rights, escalation paths, and accountability across functions, IT, Security, and Legal/Compliance. - Establish standards for data quality controls, lineage, auditability, and cross-system data integrity, while functional owners remain accountable for the accuracy and business quality of their source data. - Partner with functional data owners, Legal/Compliance, Security, IT, and Architecture to develop and operationalize data policies, governance workflows, and control requirements. - Ensure data is trusted, explainable, and decision-ready across the organization. - Data Access, Security & Compliance - Design and implement data access models, including Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). - Establish access-request, approval, provisioning, and audit workflows, with functional data owners retaining approval authority for access to their domain data. - Ensure alignment with enterprise identity and access management (IAM) systems. - Partner closely with Security (CISO), Legal/Compliance, and functional data owners to translate requirements into practical data-access, tagging, handling, and control workflows for ITAR, export controls, CUI, PII, financial data, and other regulatory requirements. - Enable secure, appropriate, and auditable data availability across stakeholders, consistent with agreed business, legal, and security rules. - Data Strategy & Infrastructure Alignment - Develop and maintain the enterprise data-platform roadmap, aligned to existing and future environments, including Snowflake environments across business units. - Potential data lake, lakehouse, warehouse, semantic-layer, or hybrid architectures as needed. - Assess when to connect, consolidate, or defer data-platform buildout based on function-led system consolidation timelines, reporting needs, data quality, and integration complexity. - Partner with IT and Architecture to ensure data flows, pipelines, and integrations are scalable and consistent. - Document how data moves across systems, where it is sourced, which system is authoritative, what transformations occur, and where downstream reports or automated workflows depend on it. - Data Integration & M&A - Lead the IT/data workstream for acquisitions and new entities, focused on data-source mapping, integration patterns, lineage, access, quality controls, and reporting readiness. - Develop scalable approaches to onboard, normalize, and harmonize new data environments in partnership with functional system owners and integration teams. - Create mechanisms to reconcile and document differences in data definitions and structures across entities, with functional owners approving domain-specific definitions. - Intellectual Property & Critical Data Assets - Establish the methodology, tooling, and workflows to identify, classify, tag, and manage critical data and IP across the enterprise, in partnership with Legal, Security, technical stakeholders, and functional data owners. - Partner with Security, Legal, and technical stakeholders to ensure appropriate controls and protections are in place defined, implemented, and monitored through the right combination of IT/Data, Security, Legal/Compliance, and functional-owner responsibilities. - Data remains usable while protected. - Enable project- or program-level data handling rules where appropriate, so sensitive technical, product, or program data can be protected without requiring every end user to make legal or export-control determinations. - Support development of a long-term strategy for safeguarding high-value data assets. What You Won’t Own (by design) - Analytics, KPIs, and business reporting ownership (Finance/Business Analytics); this role owns the governed data foundation, lineage, and source-of-truth mapping that enable trusted reporting. - AI strategy and business use cases (AI leadership/business owners); this role supports the data access, governance, integration, and deployment-control pathways for AI/ML capabilities that use enterprise data. - Enterprise applications and core infrastructure ownership (CIO/IT application and infrastructure owners); this role owns or co-owns data-platform strategy, data integration patterns, metadata, lineage, and cataloging within the IT operating model. - Non-data enterprise architecture and business-system design (Architecture/system owners); this role owns enterprise data architecture, data-flow standards, and integration-design guidance. - Cybersecurity strategy, monitoring, alerting, incident response, and security-control validation (CISO); this role partners with Security to implement data-aware controls, tagging, access workflows, and evidence trails. - Domain-level data ownership, including business meaning, source-system data quality, business rules, and functional usage decisions (remains within functions). Operating Model - Acts as a horizontal leader and integrator, not a vertical owner. - Serves as a consultative data architecture and integrity reviewer on function-led initiatives, not the default approval gate or replacement for the functional system owner. - Drives alignment through influence, standards, and governance—not control. - Holds decision rights over IT-owned data architecture, data-platform roadmap, integration standards, cataloging, metadata, lineage, and data-governance workflows; functional owners retain decision rights over domain definitions and business rules. - Works closely with: - Finance/Analytics (data inputs to reporting) - GTM (CRM and pipeline data consistency) - HR (people data via HRIS transformation) - IT/Architecture (systems and data flows) - Security (compliance and protection) - Product/Engineering (product-aligned data structures) Compensation The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site. Wage Transparency $192,979 — $276,722 USD. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Benefits - Comprehensive medical, dental, and vision plans - Matching 401(k) - Unlimited PTO and paid holidays - Parental/adoption leave - Legal insurance - Home technology stipend Commitment to Diversity At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. US Non-Technical Jobs Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. If you are interested in being a part of our team and mission, we encourage you to apply!

• Partner with Product, Operations, Finance, and other business teams to answer high-impact business questions using data. • Translate ambiguous business problems into structured analytical approaches and actionable recommendations. • Develop KPIs, metrics, and performance measurement frameworks. • Present insights and recommendations to senior leadership in a clear, compelling manner. • Serve as a trusted analytical advisor to cross-functional stakeholders. • Design, execute, and analyze A/B tests and other experiments. • Evaluate product features using statistical techniques and causal inference. • Identify opportunities to improve customer engagement, conversion, retention, and operational efficiency. • Build measurement frameworks for new products and initiatives. • Develop predictive models, forecasting solutions, segmentation models, and optimization algorithms where appropriate. • Apply statistical and machine learning techniques to solve business problems. • Collaborate with engineering teams to deploy analytical solutions into production when needed. • Evaluate model performance and communicate trade-offs to business stakeholders. • Write complex SQL queries against large-scale datasets. • Design, build, and maintain executive dashboards, reports, and self-service analytics. • Develop reliable ETL/ELT pipelines that support reporting and analytical workflows. • Improve data quality, documentation, and metric consistency across the organization. • Help establish best practices for analytics engineering and reporting.

- Lead enterprise Data Governance engagements for healthcare organizations. - Serve as a trusted advisor to executive leadership, business stakeholders, and technical teams. - Facilitate governance councils, steering committees, executive workshops, and strategic planning sessions. - Guide clients in developing governance strategies that align with organizational priorities and measurable business outcomes. - Develop and grow long-term client relationships by identifying opportunities to expand governance capabilities beyond initial project engagements. - Lead the integration of Data Governance across the entire data lifecycle—from platform configuration and data acquisition through data product development, analytics execution, AI initiatives, and ongoing operational management. - Bridge development teams, architects, analysts, and business stakeholders to ensure governance is embedded into enterprise processes rather than operating as a separate function. - Champion governance as an enabler of innovation by integrating governance practices into technology implementation, analytics delivery, and organizational decision-making. - Design and establish enterprise Data Governance operating models, including governance structures, decision rights, stewardship organizations, and accountability frameworks. - Lead enterprise Data Governance maturity assessments and develop executive roadmaps aligned with organizational strategy. - Develop governance policies, standards, processes, and decision-making frameworks. - Define data ownership, stewardship, and accountability models across business and technical teams. - Embed governance best practices into organizational processes to improve consistency, trust, efficiency, and decision-making. - Partner with business, healthcare operations, analytics, and technology leaders to prioritize governance initiatives supporting enterprise transformation. - Develop governance strategies that enable trusted analytics, AI, regulatory compliance, and enterprise data management initiatives. - Establish governance success metrics and maturity measures. - Build business cases demonstrating the value of governance investments. - Lead enterprise Data Governance maturity assessments and executive stakeholder interviews. - Evaluate governance capabilities across people, process, technology, organizational adoption, and business alignment. - Develop executive summaries, strategic recommendations, and multi-year governance roadmaps. - Build trusted relationships with executive leaders and become a strategic advisor for enterprise data initiatives. - Translate business strategy into scalable governance programs that drive organizational adoption. - Bridge business, healthcare operations, analytics, and technology teams to create governed processes throughout the enterprise data pipeline. - Deliver measurable improvements in trust, consistency, operational efficiency, regulatory readiness, and business value. - Foster collaboration across business, technical, and operational teams. - Mentor consultants while contributing to the continued growth of Prominence's Data Governance practice. - Balance strategic leadership with hands-on execution. - Continuously evaluate emerging technologies, governance practices, and industry trends to improve client outcomes. - Demonstrate curiosity, adaptability, humility, and a passion for continuous learning.