About the role

Aplyr's Quick Take

This role is about leading clinical data analytics initiatives to improve data quality and operational efficiency in clinical trials. You'll work closely with various teams to develop and implement data solutions, focusing on risk-based insights and data-driven decision-making. It's primarily an individual contributor role with a strong emphasis on collaboration and technical expertise.

Good fit

Ideal candidates have significant experience in clinical data management and analytics, particularly in a pharmaceutical or clinical research setting. A background in data technologies and a proactive, collaborative working style will help you thrive here.

Worth noting

The role emphasizes the integration of AI and automation in data processes, which could be a unique opportunity for those interested in cutting-edge technology in clinical research. The spec is vague on day-to-day responsibilities, so be prepared for some ambiguity.

Job Description Summary

Drive cross-functional strategy for clinical data analytics and solutions that advance risk-based insights, boost operational efficiency by focusing on critical to quality, and ensure high-quality data outcomes for Clinical Data Operations (CDO) for the assigned portfolio.

Lead the end-to-end design, and implementation of innovative clinical data analytics & reporting solutions, partnering closely with key stakeholders to enable data-driven decision-making and continuous improvement across the organization.

Job Description

Key Responsibilities

Support DM Leads and Data Quality Teams (DQT) in deriving and articulating both planned and ad-hoc clinical and operational data insights.
Drive cross-functional collaboration to enhance data strategy, quality, site experience, and patient safety using disease area, protocol, and data standards expertise.
Partner with Central Monitoring (CM) and Risk-based Quality Management (RbQM) leads to promote risk-based data review approaches.
Act as a data review solution advisor, translating complex insights into clear, actionable recommendations for stakeholders.
Contribute to exploratory data quality management plans in collaboration with DQT.
Enable detection of data discrepancies and anomalies by supporting deployment of user-friendly analytical tools.
Promote responsible AI adoption, develop proof-of-concepts (PoCs), and support product ionization of approved use cases.
Identify opportunities to optimize analytics processes and improve solution performance.
Stay current with emerging technologies, trends, and best practices in data analytics, automation, and AI.
Develop and maintain technical documentation while fostering a culture of innovation and continuous learning.

Minimum Requirements

Strong experience in clinical data management with expertise in RbQM, analytics, and driving operational excellence in pharma/clinical research.
Proficiency in clinical data technologies (EDC, data hubs, metadata tools), standards (CDISC SDTM/ADaM), and regulatory/data governance frameworks.
Exposure to AI/ML, automation, cloud, BI tools (Power BI, Tableau), and programming (SAS, R, Python) with strong ability to translate complex insights into clear stakeholder communication.

Skills Desired

Classification Systems, Clinical Trials, Computer Data Storage, Computer Programming, Cross-Functional Teams, Data Analysis, Data Structures, Initiative, Programming Languages, Reporting, Statistical Analysis

Skills & Tags

data analytics

Aplyr's read

Novartis is a Swiss-based global healthcare leader, known for its focus on innovative medicines and commitment to addressing patient needs through diverse roles.
Synthesized from recent postings & public sources

What's promising

•Novartis invests heavily in research and development, driving innovation in pharmaceuticals.
•The company offers a wide range of global career opportunities across various fields.
•Strong focus on cutting-edge therapies, including gene therapy and AI-driven solutions.

What to watch

•Regulatory challenges can impact the speed of drug approval and market entry.
•High competition in the pharmaceutical industry requires constant innovation to maintain market position.
•Complex organizational structure may slow decision-making processes.

Why Novartis

•Novartis has a robust pipeline of innovative medicines, setting it apart in the healthcare sector.
•The company emphasizes a diverse and inclusive workplace culture across its global operations.
•Novartis is a leader in digital transformation within pharmaceuticals, integrating AI and data science.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Novartis

Novartis

novartis.com

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Novartis is a global healthcare company based in Switzerland that provides solutions to address the evolving needs of patients worldwide. It focuses on innovative medicines, generics, and eye care.