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.

Senior Data Scientist (m/f/d)

Your tasks and responsibilities

 

  • Be responsible for the design and conduct of complex analyses in order to identify novel targets, disease mechanisms, biomarkers and other insights relevant for translation of research projects into clinical development stages
  • Initiate and lead cross-functional and cross-disciplinary research projects, also in collaboration with external partners, as well as supervise scientific personnel (PhD students, PostDocs) and give guidance to (junior) data scientists. This will cover all indication areas of Bayer pharmaceuticals, with a focus on cardiovascular indications
  • Relevant datasets will include (but are not limited to) large scale human genetic, transcriptomics, metabolomics, proteomics and electronic health record data
  • Apply a combination of statistical, as well as machine learning methods with the aim to infer probable causal relationships from such data (e.g. between a biological pathway and a disease outcome)
  • Liaise and interface with researchers from various backgrounds (biology, medicine, pharmacology, chemistry, statistics) in order to identify critical points in drug discovery projects, and provide appropriate solutions for such critical points through analyses of available complex datasets
  • Continuously work on improving the available set of state of the art analytical tools (for both, scientists with or without a data science background), and identify additional appropriate data sources and datasets, including for example through collaboration with external institutions

 

Who you are

 

  • Bachelor/Master and PhD or equivalent in a relevant discipline (Life Sciences: e.g. Chemistry, Biology, Medicine, Pharmacology; or a quantitative discipline: e.g. Bioinformatics, Physics, Informatics, Statistics, Mathematics) with demonstrated experience in applying quantitative methods to solve research questions in life sciences; some experience in human genetics and/ or epidemiology preferred
  • Post-Doc experience, or equivalent demonstration of independent research
  • International experience as well as a significant publication record in the field
  • Several years of experience in the pharmaceutical/biotech industry, or otherwise demonstrated experience in drug discovery relevant research areas
  • Extensive Programming & computing skills (e.g. R, Python), ideally familiar with high performance and cloud computing
  • Demonstrated extensive knowledge and application of inferential and exploratory analysis skills (e.g. survival analyses, generalized linear models, Bayesian inference, deep learning, causal inference) and a broad overview of state-of-the-art of analytical methods
  • Highly self-motivated, highly responsible, keen interest to develop field further, strive for scientific excellence and to exceed goals regularly, very strong analytical thinking and scientific rigor, and very good communications skills, including for example, capability to present even very complex issues clearly and convincingly to project teams or decision bodies
  • Demonstrated leadership experience, for example in leading multi-disciplinary collaborations
  • Fluent in English, both written and spoken

 

 

Your application

Are you looking for a new challenge where you can show your passion for innovation? Are you interested in working as part of a global team to improve people’s lives? Then send us your online application including cover letter, CV and references.

 

 

 

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. 

Country: Germany
Location: Berlin, Wuppertal-Aprath
Reference Code: 41933
Functional Area: [sap_fa_28]
Entry Level: 5