Work from Office
Full Time
Summary Responsible for scientific data analysis, system engineering, etc. The individual typically designs or works with informatics solutions specifically for research. The role requires expertise in Informatics and/or Informatics Systems with a good knowledge of research About the Role Key accountabilities: Collaborate closely with data scientists and subject-matter experts to fulfill data needs. Validate and ensure the accuracy and quality of data by cleaning, shaping, and sometimes analyzing, normalizing, and conforming it to existing models and vocabularies. Identify and rectify data inconsistencies and irregularities. Design data models and prepare data artifacts to effectively meet business needs. Promote culture of transparency and communication regarding data modifications, lineage, and definitions to all stakeholders. Minimum Requirements: Demonstrable experience as a data wrangler, data analyst, or a similar role. Demonstrable data processing expertise in Python, bash and other scripting tools. Demonstrable data management expertise in relational, document, column and graph datastores. Experience building ETL processes in high-performance environments like Databricks, AWS, Snowflake. Understanding and working vocabulary about common machine-learning concepts (training sets vs. test sets, over/under fitting, bias, annotations, feature extraction, RAG, LLMs, classifiers, and so on) Experience with ML and data libraries such as scikit-learn, pandas, tensorflow, and pytorch is a plus Experience and familiarity with various data types, including images, tabular, unstructured, and text. Habit of communicating pro-actively, asking questions, and seeking clarifications when necessary. Languages : English. You ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. Commitment to Diversity and Inclusion: Accessibility and accommodation Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork. novartis. com/network 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:
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