Shaping the future of quality through data, this position leads advanced analytics initiatives that go beyond routine reporting. The Quality Medicine Data Scientist applies techniques such as machine learning, causal inference, artificial intelligence, and natural language processing to identify patterns, generate hypotheses, and support strategic decision-making across global programs. Located at the Regional Center in Vienna, the role collaborates with cross-functional teams to unlock the full potential of real-world data in a regulated and innovation-driven environment.
Tasks & Responsibilities
* Project ownership in data science: Involves leading initiatives within the Quality Medicine (QM) function to address complex, non-routine analytical challenges related to quality risk and medicinal product lifecycle activities.
* Application of advanced methodologies: Requires the use of machine learning (ML), causal inference, artificial intelligence (AI), natural language processing (NLP), and statistical modeling to extract insights and inform decision-making.
* Development of analytical frameworks: Focuses on creating new hypotheses and models by integrating structured and unstructured data sources, supporting continuous improvement in quality and compliance across Early Clinical Development and Medical Devices.
* Exploration of data-driven opportunities: Entails uncovering hidden patterns, correlations, and risks within large-scale datasets to proactively address quality challenges and enhance operational efficiency.
* Strategic collaboration across functions: Includes acting as a key analytical resource for cross-functional teams, translating complex data into actionable insights and supporting quality-related decision processes.
Requirements
* Educational background: Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline.
* Professional experience in analytics: Proven track record in executing full-cycle data science projects—data preparation, model development, validation, and deployment—preferably within healthcare, pharmaceutical, or regulated industries.
* Technical expertise in modeling: In-depth knowledge of AI/ML algorithms and causal inference techniques, with demonstrated use in quality and compliance contexts.
* Programming proficiency: Skilled in R, Python or similar languages. Experienced in working collaboratively in git. Familiar with the Posit workbench.
* Cross-functional communication skills: Capable of presenting complex analytical findings clearly and effectively, with experience collaborating across multidisciplinary teams to support strategic initiatives.
Please note that employment takes place via one of our external partners. The employment takes place exclusively at Boehringer Ingelheim RCV GmbH & Co KG.
* Flexible working time models: home office and flexible working hours, depending on department and position – many things are possible with us.
* Additional days off (“bridge-days”): more free time through additional days off to bridge single working days between bank holidays and the weekend – without having to use vacation days.
* Canteen & Cafeteria: whether it's coffee and croissant for breakfast, various lunch menus or snacks in between – our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.
* Learning & development: diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.
* Health promotion: health is important to us – that's why we offer different programs to promote physical and mental health.
* Public transport ticket: we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!
The remuneration for this position starts at EUR 59.000 gross annual target salary per year (full time). The actual salary package depends on professional experience and qualifications. We will be happy to discuss further details in person.
We are looking forward to receiving your application online!
By uploading your application documents via our application portal, we can treat your data confidentially and in compliance with the GDPR.
Do you have any additional questions about the position? Your HR Recruiting Manager for this position is Aleksandra Dawid.
On our career site you will find further information about Boehringer Ingelheim as an employer as well as information about the application process and our different departments.
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