Overview

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.
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Computational Scientist (m/w/f)
Your tasks and responsibilities
Evaluate and implement State-of-the-Art natural language processing and text mining technologies (incl. machine and deep learning) with a focus on biomedical and chemical entity and relationship extraction
Develop and implement rules, patterns and algorithms to extract complex scientific entities (e.g. gene mutation patterns) and relationships between these entities (e.g. target – therapeutic use) from life science sources with the purpose to answer challenging scientific questions from Pharma R&D
Systematically optimize algorithms towards specific extraction goals (precision, recall, throughput etc.)
Contribute to developing large scale annotation pipelines in distributed, cloud based systems (e.g. Kafka, Spark)
Contribute to processes for automated ontology creation and enhancement
Collaborate and exchange Know-how with domain experts and other computational scientists in area of semantic technologies

Company:

Bayer Pharmaceuticals

Qualifications:

Who you are
PhD in the field of Computer Science or Computational Life Science or related disciplines
Several years of experience in applying semantic technologies to Biomedicine, Pharmacology, Biology or other Life Science related topics in applied research institutions or industry after Ph.D.
Profound knowledge in developing algorithms for information extraction and natural language processing
Profound understanding of Big Data technologies
Several years of expertise in the practical application of different technologies such as text mining / NLP/ Deep Learning, programming skills in Java and Python as well as semantic web technologies, methods and standards (e.g. OBO, RDF, OWL)
Experience in project management in large organizations, innovative thinking as well as excellent communication and presentation skills

Language requirements:

Fluent in English and German, both written and spoken

Educational level:

Ph. D.

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