Senior Data Scientist
vor 2 Wochen
**The Position**:
We are looking for a generalist with a broad technical skillset as Senior Data Scientist. In this position, you will be at the forefront of turning an ever-increasing amount of data into insights, prototypes, and productionizing those.
Embedded in Boehringer Ingelheim’s growing Global Computational Biology and Digital Sciences Unit you will have an impact on reinventing R&D, thereby actively contributing to the discovery of breakthrough therapies that will increase human health.
This position is part time eligible with 80 %.
**Tasks & responsibilities**:
- You will collaborate closely with scientists and domain experts on challenging problems in discovering and developing novel therapies and design the next generation of analytics engines that solve these problems.
- With your experience in data wrangling and engineering, Data Science and Machine/ Deep Learning, you will build prototypes that exploit the advantages of cutting-edge algorithms and high-quality data to impact the Boehringer R&D portfolio.
- Furthermore, you will collaborate with developers, data engineers, UI/UX designers and architects for the implementation of scalable solutions for our scientists.
- You will look forward to internalize trends in Machine Learning/AI, including input from other industries, and explore opportunities for transformative use cases in pharma R&D with a focus on drug discovery and drug development.
- Through internal and external networking, collaboration and experimentation, you will contribute to advancing the discipline at Boehringer Ingelheim.
**Requirements**:
- PhD. in a natural sciences field with several years of relevant professional experience, alternatively master´s degree with long-term relevant professional experience
- Domain knowledge and relevant experience in biology, life sciences or a related field
- Experience in professional handling of large data volumes from various sources and scalable data engineering approaches. Experience with efficient use of Spark and SQL is a plus
- Proven expertise in Data Science and Machine Learning with the common tool stacks in Python. Experience with LLMs/ RAG/ recommendation engines is a plus
- Knowledge of good modern software engineering practices
- Experience with deploying ML models in production/ MLOps, hands-on experience with cloud services and building ML infrastructure
- Ability to dive deeply into multiple scientific topics
- Passion to solve business relevant problems, combined with out-of-the box thinking and a can-do mentality
**Ready to contact us?**:
Please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330.
Recruitment process:
Step 2: Virtual meeting in the period from mid till end of March
Step 3: On-site interviews on 7th and 8th of April
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