Manager IP Analytics & Data (d/f/m)
Holzkirchen (Sandoz International GmbH) (Sandoz)
Applications have closed
Novartis
Working together, we can reimagine medicine to improve and extend people’s lives.Job Description Summary
Support the IP team to craft best-in-class IP strategies through leveraging advanced analytics and AI to enable data-driven decision making. Manage advanced analytics projects from data extraction through to analytics and insights generation. Build and implement data governance and data management framework for all IP data.
Job Description
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!
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
You’ll receive:
Sandoz has an employee-first approach and that’s why your personal growth is so important to us. You will have access to Coursera and other learning platforms with more than 200,000 learning videos and 5000+ courses.
In addition to the various learning opportunities, we offer company benefits, such as:
30 days of annual leave
Holiday allowance
Additional rewards for special occasions (e.g. service length awards, marriage celebration, etc.)
Company pension schemes and capital formation benefits
Parental leave
Other offerings, such as bike leasing
Why Sandoz?
Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, touched the lives of almost 500 million patients last year and while we are proud of this achievement, we have an ambition to do more!
With investments in new development capabilities, state-of-the-art production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably.
Our momentum and entrepreneurial spirit is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is encouraged!
The future is ours to shape!
Commitment to Diversity & Inclusion:
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Hiring decisions are only based on the qualification for the position, regardless of gender, ethnicity, religion, sexual orientation, age and disability.
The law provides for severely disabled / equal applicants the opportunity to involve the local representative body for disabled employees (SBV) in the application process. If you would like to request this, please let us know in advance as a note on your CV.
Join our Sandoz Network:
If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Sandoz and our career opportunities, join the Sandoz Network here:
https://talentnetwork.novartis.com/hiringgermany
#Sandoz
Skills Desired
Analytical Thinking, Brand Protection, Communication, Detail-Oriented, Efficiency, Financial Processing, Intellectual Property, Law (Legal System), Microsoft Office, Multitasking, Office Administration, Organizing, Patent Prosecution, Patents, Productivity, Professional Etiquette, Teamwork* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Computer Science Data governance Data management Data pipelines Data quality EDA Engineering ETL Machine Learning Pipelines Python Qlik SQL
Perks/benefits: Career development Flex hours Parental leave Startup environment
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