What you'll do

Project manage own tasks and works with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and drives issues to resolution, minimizes surprise escalations, with initial support from supervisors
Understand life science data sources including preclinical, clinical, sales, contracting, promotions, social media, patient claims and Real World Evidence
Research and co-develop with supervisor in data management, new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data
Support the evaluation of the need for technology and novel scientific software, visualization tools and new approaches to computation to increase the efficiency and quality of the Novartis practices
Independently identifies research articles and proposes them for application to Novartis business problems
Develop automation for data management, repeatedly refreshing analysis and generating insights
Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use.
Manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle.
High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.

What you'll get

€42,600.00 - €79,200.00

Job Description Summary

Location: Barcelona, Spain

Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support. Please apply only if this location is accessible.

As a Senior Expert Data Science, you will play a key role in delivering impactful data science solutions, collaborating closely with business stakeholders and expert peers to transform complex project needs into meaningful outcomes for patients and the organization.

Essential Requirements

4+ years of relevant experience in Data Science
Track record delivering global solutions at scale.
In-depth mastery of external environment and trends
In depth knowledge of Artificial Intelligence (AI), Machine Learning
Experience in Python is a must
Professional level of English, both written and spoken
Strong collaboration skills and ability to work effectively across functions and teams.

Skills Desired

Agentic AI, Agentic AI, Artificial Intelligence (AI), Artificial Intelligence Technologies, Biostatistics, Business Mindset, Change Management, Change Management Processes, Curious Mindset, Data Governance, data governance and management (Inactive), Data Literacy, Data Quality, Data Quality Management, Data Science, Data Visualization, Deep Learning, Deep Learning Algorithms, Digital Literacy, Generative AI, Graph Algorithms, Learning Agility, Learning agility, being curious (Inactive), Logistic Regression Model (Inactive), Machine Learning (ML) {+ 14 more}

Additional information

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Senior Expert Data Science

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