Senior Clinical Data Solutions Architect (Remote MX)

Fortrea; México; A distancia; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Fortrea seeks an experienced Senior Clinical Programmer Analyst to lead the development of data solutions from Mexico. You will work remotely on global clinical studies, leveraging SAS, Medidata Rave, Oracle Inform, Spotfire, and Tableau to deliver high-quality insights.

You will design SAS programs, create dashboards, and partner with cross-functional teams to improve data quality and efficiency in a dynamic CRO environment.

Formación

• 5+ years in Clinical Programming or data analytics in a clinical setting.
• Experience with SAS, Spotfire, Tableau and EDC systems.
• Strong analytical, problem-solving and stakeholder management abilities.
• Ability to work independently in a global, collaborative environment.
• Fluency in English.

Responsabilidades

• Lead development and support of clinical technology solutions across global studies.
• Design, validate, and optimize SAS programs, datasets, edit checks, listings, and reconciliations.
• Create impactful visual analytics dashboards using Spotfire and Tableau.
• Serve as technical SME for EDC systems, clinical programming, and data solutions.
• Drive automation, standardization, and process improvements to boost quality and productivity.
• Partner with Data Management, Biostatistics and Clinical Operations to deliver high-quality results.

Conocimientos

SAS Programming

Spotfire

Tableau

EDC systems

Analytical problem solving

Stakeholder management

Independent work

English fluency

Herramientas

Medidata Rave

Oracle Inform

Spotfire

Descripción del empleo

Fortrea seeks an experienced Senior Clinical Programmer Analyst to lead the development of data solutions from Mexico. You will work remotely on global clinical studies, leveraging SAS, Medidata Rave, Oracle Inform, Spotfire, and Tableau to deliver high-quality insights.

You will design SAS programs, create dashboards, and partner with cross-functional teams to improve data quality and efficiency in a dynamic CRO environment.