Associate Director, Data Engineering Lead
This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Summary Location: London, UK; Dublin, Ireland
About the Role:
Complex data are integral to our work in clinical studies. This position will be 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:
1. Develop 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, pooling structured data from clinical trials, incorporating evidence from multimodal or large sources of data (such as genomics, biomarkers, digital technology, sensors, imaging, and real-world evidence) and producing high-quality versioned data assets and software pipelines for reproducible analysis
2. Provide technical leadership for data engineering projects, plan and oversee data engineering projects from conception to deployment, define project scope, goals, and deliverables, monitor project progress and adjust as necessary to meet deadlines.
3. Build strong collaborative working relationships and communicate effectively with Quantitative Science partners along with clinical teams to promote a culture of leveraging each other's skills in an open and transparent manner.
4. Play a lead role in agile engineering and consulting, providing guidance on complex data and unplanned data challenges.
5. 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, regulatory, data security, and privacy requirements.
6. Stay updated with industry trends and advancements, and help establish and strengthen the link between Novartis and the external data engineering community through open-source contributions, publications, and participation in external congresses, conferences, and workshops.
7. Encourage a culture of continuous learning, collaboration, and innovation within the team, facilitate communication, delegate tasks, and collaborate to meet deadlines.
What you will bring to the role:
* MSc or PhD in Computer Science/Engineering, Data Sciences, Bioinformatics, Biostatistics, or related computational field
* Minimum of 4-6 years of experience developing data pipelines and infrastructure, preferably within drug development or life sciences
* Expertise in software/data engineering practices, including versioning, release management, deployment, and agile tools
* Strong skills in R, Python, SQL
* Experience with large-scale data processing technologies, databases, cloud/on-prem environments, containerization, distributed storage
* Excellent interpersonal and communication skills, experience in matrix organizations
* Proven track record of delivering high-quality results in quantitative sciences or publications
* Experience in AI, Big Data, Data Governance, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, MDM
* Knowledge of Machine Learning, Python, R, and Statistical Analysis
Benefits and Rewards:
Learn about our support for your growth: https://www.novartis.com/careers/benefits-rewards
Commitment to Diversity & Inclusion:
We aim to build an inclusive environment and diverse teams that reflect our communities.
Accessibility and Accommodation:
We provide reasonable accommodations for individuals with medical conditions or disabilities. Contact: inclusion.switzerland@novartis.com
Why Novartis:
Join us to make a difference in patients' lives through science, collaboration, and innovation. More info: https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network:
Stay connected and learn about opportunities: https://talentnetwork.novartis.com/network
Read our benefits handbook: https://www.novartis.com/careers/benefits-rewards
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