Job Informationen

Your tasks: • Engage with computational peers across our Institutes for Medical Research to identify recurrent problems that can be solved at scale, focusing on all data domains that are of practical use in drug discovery. • Design, implement, and maintain robust methods, algorithms, and packages (python, R) that help the computational community solve old and new problems with ease. • Define, refine and promote the computational glue that is between large-scale data processing and insights at very detailed level. • Ideate and implement visualizations, dashboards & webservices for data dissemination to computational peers as well as to non-computational collaborators. Your profile: • PhD, MSc or BSc degree in a relevant field (mathematics, computer science, bioinformatics, physics, biology, chemistry) • Advanced/Business-Level English oral and written • Excellent scripting skills and experience in R and python with a demonstrated ability to develop and deploy packages/modules for end users; proficiency in Linux, git, SQL and relevant software packages are essential • Algorithmic/computational understanding and experience of efficiently dealing with small and large sets of heterogeneous data • Familiarity with relevant biological data for drug discovery and experience of communicating it with broad audiences • A desire to relentlessly improve the status quo in terms of efficiently linking data across domains Advantage: • Statistics; machine learning; bioinformatics/ cheminformatics domain knowledge. • Familiarity with literate programming environments (such as jupyter, R Markdown, Databricks) and/or cloud computing.

Benötigte Skills

• Englisch
• Mathematik
• R
• Python
• Python
• Pharma
• SQL