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Location

Biberach an der Riß | Germany

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Job description

The Position

Are you passionate about data science and eager to apply your expertise in Machine Learning to pave the way for an R&D that is driven through data and innovative digital approaches?

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 (gCBDS), you are 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 1: Online application – application deadline is approximately April 5th, 2024

Step 2: First virtual meeting mid of April

Step 3: Panel interviews end of April

Discover our Biberach site: xplorebiberach.com

Company:

BoehringerPRD

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry , Machine Learning , NLP , Unspecified

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Job tags

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Salary