Summary
About the Role
Key Responsibilities:
- Develops data pipelines and IT infrastructure solutions to enable Quantitative Sciences to utilize high quality datasets to make quantitative decisions at trial and/or project level activities:
- Provides technical leadership for data engineering projects:
- Builds strong collaborative working relationships and communicates effectively with Quantitative Science partners along with clinical teams to promote a greater mindset where associates may leverage each other’s skills in an open and transparent manner.
- Plays a lead role in agile engineering and consulting, providing guidance on for complex data and unplanned data challenges.
- Ensure all data engineering processes are well-documented in compliance with legal and regulatory requirements, as well as data security and privacy best practices.
- Helps establish and strengthen the link between Novartis and the external data engineering community through open-source contributions and publications, as well as through external congresses, conferences, and other scientific workshops and meetings.
- Encourages a culture of continuous learning, constructive collaboration, and innovation within the team.
Experience/Professional requirement:
- 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), databases and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases)
- Strong interpersonal and communication skills (verbal and written) effectively bridging scientific and business needs; experience working in a matrix environment
- Proven record of delivering high-quality results in quantitative sciences and/or a solid publication track record
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
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Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
