Global Head of Data Engineering - Advanced Methodology and Data Science

Key Responsibilities:  

• Promote cutting-edge efficient data engineering and data wrangling for priority pools to support in-depth data interrogation at the project and trial level for priority programs

• Be the Analytics technical lead with the data asset owner from Analytics DU team in order to plan, create and maintain data products in an efficient and scalable manner

• Support cross-functional teams in utilizing these data assets from Biomedical Research through Biomarker Development, Precision medicine through Development and medical affairs, and work with internal & external data engineering experts to grow capabilities and infrastructure in a reusable and scalable way.

• Bridge data and knowledge engineering together with more traditional statistical programming skills, to bring automation and modern processes to reporting activities for trials and programs:

• Establish data engineering as a process and function that is an essential capability to leverage complex (multi-modal and/or pooled) datasets to generate evidence that can support HA interactions / submission work and in-depth data interrogation.

• Establish data engineering practices that ensure automated testing with documented code-review and have automated, reproducible QC reports accompany all data releases.

• Engage as a key contributor to the AMDS (Advanced Methodology and Data Science) Leadership team, propose, lead or contribute to functional or cross-functional data engineering initiatives, coordinating diverse team members to support priority projects across Analytics, Statistical Methods and AEA (Advanced Exploratory Analytics) teams in AMDS.

• Attract and develop strong talent to a team that can deploy a range of data and software engineering skills alongside data science and AI in order to support data engineering activities across the broader Analytics group and extend to Biomedical Research.

• Bring data and software engineering mindset and deep technical expertise to the technology infrastructure projects, the wider organization and the pharma community:

Essential Requirements:

• Deep knowledge and 10+ years of experience in global drug development, including data pooling strategy, technology and computing environments, AI and modernization

• Proven expertise in quantitative sciences, including good data science practices, working with and engineering multi-modal large data, strategic input to technology platforms

• Experience working in a fast-paced environment with multiple competing priorities

• proven ability to operate in a matrixed environment, with a high tolerance for ambiguity and change

• Excellent presentation and communication skills, influencing and senior stakeholder management skills and collaboration

• Thorough knowledge of GxP, IT systems, QA and regulatory/clinical development process

• Ability to represent the organization in senior internal and external forums

• Fluency in English, written and oral

Benefits and rewards: 

Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: 

https://www.novartis.com/careers/benefits-rewards 

Commitment to Diversity & Inclusion:

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, or in any order to receive more detailed information about essential functions of a position, please send an e-mail to inclusion.switzerland@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.