Internship: Agentic Workflows For Single-cell Rna-seq Based Target Discovery
Roche UK
Basel, Switzerland
Single-cell rna-seq analysis
Python and/or r programming
Agentic workflows
As part of the Computational Sciences Center of Excellence (CS CoE), you will contribute to enhancing research automation processes and cutting-edge agentic workflows supporting target identification in oncology
Job Summary
As part of the Computational Sciences Center of Excellence (CS CoE), you will contribute to enhancing research automation processes and cutting-edge agentic workflows supporting target identification in oncology.
Your primary goal will be to identify gaps in our data and analysis ecosystem by collaborating with computational scientists working on target identification.
This internship will allow you to shape the future of target identification and assessment methodologies at Roche and partner with ML researchers and data engineers, providing feedback to improve Roche’s data ecosystem while advancing its automation capabilities.
Matching Summary
As part of the Computational Sciences Center of Excellence (CS CoE), you will contribute to enhancing research automation processes and cutting-edge agentic workflows supporting target identification in oncology.
Skills & Requirements
Must-have
single-cell RNA-seq analysis
Python and/or R programming
agentic workflows
data analysis ecosystem
ML researchers and data experts
Nice-to-have
personal expression and open dialogue
interdisciplinary collaboration
advanced automation capabilities
Key Requirements
Master's degree program enrollment
Proof of university enrollment for non-EU/EFTA students
Practical experience in single-cell RNA-seq analysis