Associate Director, Data Engineering Lead Job ID: REQ-10026406

Ready to make your application Please do read through the description at least once before clicking on Apply.Oct 24, 2024Location: United Kingdom (London, UK; Dublin, Ireland)Summary Complex data are integral to our work in clinical studies. This position is part of a newly established AI & Data Engineering team within the Advanced Quantitative Sciences function at Novartis. Our mission is to leverage automation and artificial intelligence to unlock the potential of complex scientific data sources. By accelerating quantitative decision-making in clinical trials through high-quality data assets and tools, we aim to bring innovative medicines to patients faster.The Data Engineering Lead guides and drives execution of the development of robust data assets from both internal and external sources to support data interrogation, driving research and development efforts, and external collaborations. By collaborating with our quantitative science community, TSC and Statistical Programming colleagues, IT, QA, BR data science teams, and vendors, the Data Engineering Lead ensures the delivery of fit-for-purpose and high-quality data assets, automation pipelines, and associated technical and quality documentation, facilitating scientific advancements in drug development.Key Responsibilities

Develop data pipelines and IT infrastructure solutions to enable Quantitative Sciences to utilize high-quality datasets for quantitative decisions at trial and/or project level activities.Provide technical leadership for data engineering projects, plan and oversee projects from conception to deployment, define project scope, goals, and deliverables, monitor project progress, and adjust as necessary to meet deadlines.Build strong collaborative working relationships and communicate effectively with Quantitative Science partners and clinical teams.Play a lead role in agile engineering and consulting, providing guidance on complex data and unplanned data challenges.Focus on risk, quality & compliance, proposing and implementing improvements to existing processes, ensuring all data engineering processes are well-documented, and ensuring compliance with legal and regulatory requirements.Stay updated with industry trends and advancements, and help establish and strengthen the link between Novartis and the external data engineering community.Encourage a culture of continuous learning, constructive collaboration, and innovation within the team.What You Will Bring to the Role

MSc or PhD in Computer Science/Engineering, Data Sciences, Bioinformatics, Biostatistics, or any other computational quantitative science.Minimum of 4-6 years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.Expert in software/data engineering practices including versioning, release management, deployment of datasets, agile & related software tools.Strong software development skills in R and Python, SQL.Strong working knowledge of at least one large-scale data processing technology (e.g. High-performance computing, distributed computing).Strong interpersonal and communication skills (verbal and written) effectively bridging scientific and business needs.Proven record of delivering high-quality results in quantitative sciences and/or a solid publication track record.Experience in Artificial Intelligence (AI), Big Data, Data Governance, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Master Data Management.Experience in Machine Learning (ML), Python and R, Statistical Analysis.Benefits and Rewards Read our handbook to learn about all the ways we’ll help you thrive personally and professionally.We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.Accessibility and Accommodation Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, please send an e-mail to and let us know the nature of your request and your contact information.Why Novartis Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Ready to create a brighter future together?Join Our Novartis Network Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities.GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.Functional Area: Data and DigitalJob Type: Full timeEmployment Type: RegularShift Work: No

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