Senior Scientist

THE POSITION

  We are part of the Discovery Research area within our Innovation Unit (IU). Through the use of In Silico methods combined with disease biology we want to identify novel human disease insights. Our main goal is to accelerate and improve decision making in order to identify impactful first-in-class therapies for our patients. We aim to transform our Innovation Unit through cutting edge digital sciences.
Embedded in our growing Global Computational Biology and Digital Sciences (gCBDS) Unit our ambition is to shape the future drug portfolio by acting on novel biological insights generated from the application of state-of-the-art in silico methods to human disease data.
To achieve this, we are building a data science group that can unleash the transformational value of healthcare data, biomarkers and advanced analytics. With the ultimate goal to transform how we discover and develop new medicines at Boehringer Ingelheim.
Interested in an exciting challenge coupled with innovation, passion for Data Engineering and a desire to bring real benefits to human health? Here it is!
Join our team and take part in creating an innovative data science group within our Discovery Research area. 
This position is part time eligible with 80 %.  

Tasks & responsibilities

 

• As a Senior Scientist - Data Engineering, you will develop and implement technical solutions and large-scale analytic pipelines to execute of our data-driven innovation strategy ensuring long-term value of external patient level and aggregated data assets according to FAIR principles.
• You will understand molecular biology in the context of healthcare and drug discovery and will implement technical solutions to translate these requirements into scientific proof of concepts and productive solutions.
• You will be confident working in a heterogenous technology stack to bring our scientific data analytics solutions into closed external environments ensuring data is accessible and available to other data users e.g. computational biologists.
• By coordinating and leading domain-specific data engineering activities, you will ensure appropriate adherence to overarching data governance guidelines and principles (e.g. alignment of terminologies).
• In addition, you will collaborate effectively with computational biologists and ML scientists to enable execution of scientific use cases.

 

Requirements

 

• PhD in Computer Science, Software Engineering, Computational Biology, Data Science, or a related field with relevant expertise in the healthcare industry
• Experience in data analytics, modelling and understanding of data integration as well ,as ETL data pipelining in the context of healthcare data and drug discovery
• Know-How in implementing scalable scientific pipelines for integrating multi-modal data e.g. genetic, clinical, and imaging datasets to generate insights across a large biobank portfolio
• Demonstrated experience in all phases of software engineering such as testing, continuous integration and continuous delivery paired with solid programming skills in e.g. Python, R and/or Scala
• Experience with containerization technologies such as Docker and, data pipeline design such as in NextFlow and cloud development such as AWS
• Excellent communication, moderation, and intercultural skills as well as the ability to convince an audience of a desired strategy
• Fluency in English, written and spoken

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 28.02.2025.
Step 2: Virtual meeting mid-March
Step 3: On-site interviews early April
Please submit your application documents in English.   Discover our Biberach site: xplorebiberach.com