Scientist Machine Learning
vor 1 Monat
**The Position**:
We are looking for a generalist with a broad technical skillset as Scientist Machine Learning. In this position, you are 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.
***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, statistics and Machine/ Deep Learning you will build prototypes that exploit the advantages of cutting-edge algorithms.
- 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, alternatively master´s degree with several years of professional experience
- Experience in professional handling of large data volumes from various sources and scalable data engineering approaches
- Proven expertise in Data Science and Machine Learning with the common tool stacks in Python
- Knowledge of good modern software engineering practices including hands-on experience in cloud computing
- Ability to dive deeply into multiple scientific topics, familiarity with life science data domains is a plus
- 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: First virtual meeting mid of April
Step 3: Panel interviews end of April
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