1000+ Best Part-time Jobs in La Llagosta (July 2026) - page 13

Associate Director - Clinical Data Analytics & Technology

19 hours ago

Sabadell

ppbSalary Range: /b €63,600.00 - €118,000.00 /p p#LI-Hybrid /p pLocation: Barcelona, Spain /p pAs Associate Director - Clinical Data Analytics and Technology, you will help build and lead a new Barcelona-based team shaping the next generation of clinical data capabilities at Novartis. This is a frontline leadership role for someone with deep clinical research and clinical data operations experience who can translate between business, science, data, and technology — connecting clinical needs with analytics, automation, artificial intelligence, machine learning, risk-based quality management, and scalable data platforms. As part of the extended Clinical Data Analytics and Technology leadership group, you will guide a small, agile team, keep them closely connected to global colleagues, and turn strategic ideas into practical solutions that strengthen clinical trial delivery, data quality, operational efficiency, and decision-making for patients. This position is offered on a Hybrid working basis, with an expectation of 12 days per month onsite at our Barcelona Gran Via offices. /p h3Job Description /h3 h3Key Responsibilities /h3 ul liLead the transition to next-generation Clinical Data Operations capabilities by embedding analytics, automation, and digital innovation into core processes /li liDrive adoption of Artificial Intelligence-first strategies and emerging technologies to accelerate transformation and operational excellence /li liMentor and develop talent in clinical data analytics, Risk Based Quality Management (RbQM) and technology solutions /li liExecute the Clinical Data Operations Artificial Intelligence innovation strategy, translating strategic priorities into measurable business outcomes /li liLead cross-functional initiatives across Global Clinical Operations and Clinical Data Operations to advance company priorities and portfolio objectives /li liOversee end-to‑end Clinical Data Analytics and Technology activities, including analytics, reporting, visualization, risk-based quality management (RbQM), and technology implementation /li liDevelop innovative approaches for risk-based data review and monitoring, leveraging automation and Artificial Intelligence to improve quality, efficiency, and decision‑making /li liEnsure delivery of compliant, scalable, and secure solutions aligned with Good Clinical Practice, Good Practice requirements, General Data Protection Regulation, Health Insurance Portability and Accountability Act, and data governance standards /li /ul pLocation: Barcelona, Spain /p h3Essential Requirements /h3 ul liSignificant leadership experience within Clinical Data Operations, Clinical Data Management, Clinical Programming, or related clinical research environments, with a proven track record of building and developing high-performing teams /li liDeep understanding of clinical trial operations, clinical data review, Risk-Based Quality Management (RBQM), and the end-to‑end clinical data lifecycle, from data acquisition through monitoring, validation, reporting, and analysis /li liStrong knowledge of Artificial Intelligence (AI), Machine Learning (ML), automation technologies, cloud platforms, and business intelligence solutions, including Microsoft Power BI and Tableau, with experience applying these capabilities to clinical development or data-driven transformation initiatives /li liExperience working with modern clinical data technologies, including Electronic Data Capture (EDC) systems, Clinical Data Repositories (CDR), Statistical Computing Environments (SCE), and clinical reporting solutions such as J-Review /li liDemonstrated ability to translate clinical and business needs into analytics and technology strategies, influencing stakeholders across Clinical Data Operations, Data Science, Digital, and business functions to deliver measurable outcomes /li liFamiliarity with Clinical Data Interchange Standards Consortium (CDISC) standards, including Study Data Tabulation Model (SDTM), regulatory requirements, data governance principles, and Good Clinical Practice (GCP) and Good Practice (GxP) compliance frameworks /li liFluency in English, both written and verbal, is essential. /li /ul h3Benefits Rewards /h3 pAt Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. /p pbExpected Annual Base Salary Range for role: € /b63,600.00 - 118,000.00 /p pThe base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. /p pIn addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. /p pThe rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave. /p pRead our brochure to learn more about our global total rewards offering: /p pNote: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process. /p h3Commitment to Diversity and Inclusion / EEO paragraph /h3 pNovartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve. /p h3Skills Desired /h3 pClinical Studies, Clinical Trials, Data Analysis, Data Structures, Programming Languages, Statistical Analysis, Waterfall Model /p /p #J-18808-Ljbffr

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