Manager IP Analytics & Data (d/f/m)

at  Sandoz

Sandoz is going through an exciting and transformative period as a global leader and pioneering provider of sustainable Generic and Biosimilar medicines.
Now as an independently listed company, Sandoz aims to increase its strategic focus, operate with greater agility, set clearer business objectives, enhance shareholder returns, and strengthen its culture for us, the Sandoz associates. This is an exciting time in our history, and by creating a new and ambitious path, it will provide a unique opportunity for us all, both professionally and personally.
Join us as a Founder of our ‘new’ Sandoz!

Essential Requirements:

• Master degree in data science, data engineering, computer science or related field
• 10+ years experience in life sciences industry or intellectual property in other industries
• Extensive experience in building stories with data in life science industry or intellectual property and proven track record of completing complex data science projects, including EDA and machine learning
• Excellent programming skills, web scraping, text processing, data extraction, cleaning, transforming and analyzing large data sets
• Ability to manage structured and unstructured IP data sets and databases, including the ETL process and creating a data pipeline
• Extensive experience working in SQL, Python, Qlik
• Problem-solving skills and analytical mindset
• Excellent communication skills and ability to explain technical topics to a non-technical audience
• Fluent Englis

YOUR KEY RESPONSIBILITIES:

Your responsibilities include, but not limited to:

• Manage and implement advanced analytics projects with a deep understanding of different AI models and patent data, collaborating with internal and external stakeholders.
• Data governance & management of IP data
• Ensure data integrity and consistency through processes and tools, including identifying and addressing key data gaps
• Set-up and maintain data catalogues, dictionaries for all IP data tools; collaborate with technology team
• Identify metrics for good data quality and monitor data quality across tools
• Build IP reports and analytics from internal and external databases
• Manage the ETL process, ensuring data cleansing and validation building data pipelines with IT operations team for regular reports and analytics
• Identify opportunities to improve and enhance internal IP data sets by leveraging external data
• Manage and develop Qlik dashboards to support the IP strategy process and reporting
• Project management: collaborate with Technology team on technical implementation of data APIs
• Proactively identify opportunities to improve and enhance our data systems in reaction to our clients’ needs

WHAT YOU’LL BRING TO THE ROLE:

Essential Requirements:

• Master degree in data science, data engineering, computer science or related field
• 10+ years experience in life sciences industry or intellectual property in other industries
• Extensive experience in building stories with data in life science industry or intellectual property and proven track record of completing complex data science projects, including EDA and machine learning
• Excellent programming skills, web scraping, text processing, data extraction, cleaning, transforming and analyzing large data sets
• Ability to manage structured and unstructured IP data sets and databases, including the ETL process and creating a data pipeline
• Extensive experience working in SQL, Python, Qlik
• Problem-solving skills and analytical mindset
• Excellent communication skills and ability to explain technical topics to a non-technical audience
• Fluent English