Data Engineer

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Summary The vision of data42 is to inspire collaborative groundbreaking data and AI initiatives, to reimagine drug discovery at Novartis and accelerate time to market, ultimately transforming healthcare and improving lives. We are a small team dedicated to bringing this vision to life by accelerating secondary research and data-driven decisions where we provide scientific support and data ready for analysis in a collaborative environment, leveraging a secure and governed AI-enabled platform.
As a member of the data42 team the Data Engineer will work alongside data scientists and domain experts to enable teams to answer scientific questions using multi-modal data on the data42 platform. They will gather use-case requirements, perform engineering activities for data services, build ETL processes/data pipelines in quick iterations to deliver data ready for analysis, integrate data engineering best practices and data quality checks, and continuously optimise efficiency.
About The Role
Major accountabilities:
Collaborates with domain experts, data scientists and other stakeholders to fulfil use-case specific data needs
Designs, develops, tests, and maintains ETL processes/data pipelines to extract, prepare and iterate data for analysis in close alignment with TA / DA scientific leads and data scientists
Implements and maintains data checks to ensure accurate and high quality data in close collaboration with domain experts
Identifies and rectifies data inconsistencies and irregularities
Promotes culture of transparency and communication regarding data modifications and lineage to all stakeholders
Implements and advocates for data engineering best practices, ensuring ETL processes/data pipelines are efficient, well-documented and well-tested
Plays a role in knowledge sharing across data42 and wider data engineering community at Novartis
Ensures compliance with Security and Governance Principles
Ideal background
Bachelor’s degree in computer science or other quantitative field (Mathematics, Statistics, Physics, Engineering, etc.) or equivalent practical experience.
Proven experience as a data engineer, data wrangler or a similar role.
Exceptional programming skills with expertise in Python, R and Spark.
Experience and familiarity with a variety of data types, including but not limited to images, tabular, unstructured, and text.
Experience in scalable data processing engines, data ingestion, extraction and modeling.
Proficient knowledge in statistics, with an ability to assess data quality, errors, inconsistencies, etc.
Good knowledge of data engineering best practices
Excellent communication and stakeholder management skills.
Demonstrated ability to work independently and as part of global Agile teams.
Desirable additional skills (two or more)
Hands on experience on Palantir Foundry (Code Repository, Code Workbook, Contour, Data Lineage, etc.)
Knowledge of CDISC data standards (SDTM, ADaM)
Experience using AI (GenAI/LLMs) for data wrangling
Experience with pooling of clinical trial data
High-level understanding of the drug discovery and development process
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
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 as soon as they come up: https://talentnetwork.novartis.com/network
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
Seniority level Entry level
Employment type Full-time
Job function Information Technology
Industries
Pharmaceutical Manufacturing
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