▷ 3 Days Left! Data Expert

Job Description Summary

data42 is Novartis’ ground-breaking initiative that harnesses the power of R&D data in one of the largest and most diverse datasets in the pharmaceutical industry to reimagine medicine. data42 applies machine learning, artificial intelligence, and sophisticated analytics to generate new insights that increase our understanding of disease and medicines, improve R&D decision-making and ultimately reimagine drug discovery and development. And to take this a step further, we are expanding data42 to create a first-of-its-kind, diverse ecosystem.

We are seeking a highly skilled Data Expert to join our team. The primary focus of this role will be ensuring data quality. The ideal candidate will possess strong communication and presentation skills, enabling them to effectively convey complex data insights to various stakeholders.

Job Description

Major accountabilities :

• Ensure the overall quality of data within the Data42 project.
• Develop and implement a strong data quality framework for Data42.
• Use artificial intelligence to compare data against established protocols and identify any quality issues.
• Analyse and interpret clinical data to guarantee its accuracy and reliability.
• Accountable for ensuring the quality of data within the data42 project.
• Develop and implement data quality standards and processes.
• Apply statistical methods to support data validation
• Approach problem-solving pragmatically to enhance data quality.
• Collaborate with cross-functional teams to identify and resolve data quality issues.
• Present data findings and insights to both technical and non-technical audiences.
• Work with these data types : Clinical Data, Real World Data, Genomic data, Pre-Clinical data
• Be curious, motivated and driven to ensure highest levels of quality in data that is provided to our end-users.

Key performance indicators :

Job Dimensions :

Impact on the organization : Responsible for the development and maintenance of data quality framework and delivering high levels of quality to support business needs and help to drive data driven insights.

Minimum Requirements :

Education : Bachelor’s / Master's degree in Computer Science, Statistics, Applied Mathematics, Engineering, or any other technology related field; equivalent of the same in working experience may also be accepted

Work Experience :

Skills :

Languages :

Skills Desired

Skills Desired

Clinical Data Management, Databases, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, Waterfall Model