• Designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system • Building scalable data pipelines, transformation and enrichment processes • Provisioning layers and intuitive user interfaces aligned with strategic initiatives • Mentoring junior Data Engineers • Contributing to the research and adoption of emerging technologies • Collaborating with Product, Platform, and Architecture teams

• End-to-End Pipeline Engineering: Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into our Snowflake Data Cloud. • Cloud Infrastructure: Manage and optimize data flows within an AWS environment (S3, Lambda, IAM), ensuring high availability, security, and cost-efficiency. • High-Scale Processing: Leverage Databricks and Python (PySpark) to handle complex data transformations and high-volume workloads. • Implement the Semantic Layer: Collaborate with the team to define, implement, and scale our Semantic Layer (via dbt Semantic Layer, MetricFlow, or similar) to standardize business logic, metrics, and dimensions for all downstream consumers. • Model for Truth: Use dbt to build modular, version-controlled, and tested data models that serve as the definitive foundation for business intelligence. • Data Governance & Quality: Implement automated testing and monitoring to ensure the integrity and reliability of finished data marts.

• Contribute to architectural vision for Fortrea’s data architecture, data integration and master data management strategies. • Design and implement core ETL workflows for Fortrea’s information integration and reporting infrastructure. • Participate in the design and development of high-performing, scalable and maintainable data repositories for analytic purposes. • Participate in the full development cycle from product inception, research and prototyping to release in production. • Measurably impact company performance by delivering high quality, scalable data products. • Supervise external resources. • All other duties as needed or assigned.

Role Description We are seeking an experienced Clinical Data Engineer/EDC Specialist to join our growing team full-time. This remote-friendly role is central to how we help research teams collect, manage, and maintain high-quality data across complex, large-scale studies. You’ll be responsible for the configuration of electronic data capture (EDC) systems, including REDCap, Qualtrics, and EnrollNow, ensuring data collection workflows are reliable, scalable, and aligned with the rigorous standards of clinical and research environments. This is a role for someone who understands that well-designed data capture is foundational to good science and who takes pride in building systems that researchers can trust. Key Responsibilities - Design, build, and maintain REDCap and Enroll Now projects including instruments, branching logic, calculated fields, data validation rules, and longitudinal event structures. - Develop and manage Qualtrics surveys and integrate them with broader data collection pipelines. - Configure and support other electronic data capture platforms as study needs require, evaluating tools for fit and recommending solutions to research teams. - Collaborate with study coordinators, investigators, and data teams to translate scientific protocols into reliable, user-friendly data capture workflows. - Implement and enforce data quality standards across EDC platforms, including field validation, missing data protocols, and audit trail practices. - Support REDCap API integrations, automated data exports, and connections to downstream data management and analysis systems. - Maintain clear technical documentation of instrument design, data dictionaries, codebooks, and system configurations. - Provide training and technical support to research staff on REDCap and related platforms. - Stay current with REDCap versioning, new modules (e.g., REDCap Mobile App, Survey Queue, Randomization), and emerging EDC technologies. Qualifications - Bachelor's degree in Computer Science, Informatics, Neuroscience, Psychology, Public Health, or an equivalent combination of education and experience. - 2+ years of full-time hands-on experience designing and administering REDCap projects in a research or clinical setting. - Demonstrated proficiency with Qualtrics or other EDC platforms (e.g., OpenClinica, Medidata Rave, Castor, REDCap Cloud). - Strong understanding of data collection best practices including instrument design, validation logic, and data dictionary management. - Experience supporting longitudinal study designs with complex event structures, repeating instruments, or multi-arm configurations. - Familiarity with REDCap API and basic scripting ability (R, Python, or equivalent) for data export automation and integration tasks. - Familiarity with data privacy regulations (HIPAA, GDPR) and research ethics standards relevant to human subjects data. - Experience using version control systems (e.g., GitHub) for configuration management and documentation. Preferred - Experience in neuroscience, child development, developmental psychology, or a related life sciences field. - Familiarity with multi-modal research data including behavioral assessments, cognitive instruments, caregiver-report measures, or biosample tracking. - Experience working with IRB protocols and translating consent and data use requirements into system-level configurations. - Knowledge of HL7/FHIR standards or experience integrating EDC systems with EHR platforms. - REDCap certification or completion of a formal REDCap training program. - Experience with survey design principles and validated psychometric instruments commonly used in developmental or clinical research. Skills and Attributes - Systems thinker with a detail-oriented mindset. You have an understanding of complex datasets. - Self-directed and comfortable working autonomously in a distributed remote environment, managing multiple study timelines simultaneously. - Strong technical writing skills with the ability to produce clear data dictionaries, SOPs, and user-facing documentation. - Excellent communication skills; able to work fluidly between research scientists, study coordinators, and technical team members. - Collaborative by nature, with a genuine interest in supporting the scientists and coordinators who depend on well-functioning data systems. - Committed to data integrity, research ethics, and responsible stewardship of sensitive human subjects data. Benefits - Competitive full-time compensation and benefits package. - Meaningful contribution to research with real-world scientific and clinical impact. - Opportunity to work across a diverse portfolio of large-scale, multi-modal studies at the cutting edge of research data management. - Grow with an innovative, mission-driven company shaping the future of scientific data infrastructure. - Collaborative environment within a diverse, multidisciplinary team of researchers, engineers, and data professionals.