Internship – Machine Learning For Antibody Discovery From Sequencing Data
Roche UK
Basel, Switzerland
On-site
Machine learning fundamentals
Neural network building and training
Pytorch framework experience
Roche UK is seeking a motivated intern for their Machine Learning for Antibody Discovery team, focusing on applying machine learning techniques to analyze biological sequencing data. The ideal candidate is a PhD student with experience in machine learning, particularly in biological applications, and is committed to contributing to innovative drug discovery efforts
Job Summary
Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.
We are seeking motivated individuals to join us in this endeavor. If you are enthusiastic about using machine learning for antibody discovery and sequencing data analysis, we encourage you to explore this opportunity.
You will develop methods inspired by language models and unsupervised learning to deliver robust, generalizable solutions.
Matching Summary
Match Score: 85
Roche UK is seeking a motivated intern for their Machine Learning for Antibody Discovery team, focusing on applying machine learning techniques to analyze biological sequencing data. The ideal candidate is a PhD student with experience in machine learning, particularly in biological applications, and is committed to contributing to innovative drug discovery efforts.
Skills & Requirements
Must-have
Machine learning fundamentals
Neural network building and training
Pytorch framework experience
Seqencing data analysis
Language models
Unsupervised learning
Nice-to-have
ML on biological data
Causal representation learning
Open dialogue and genuine connections
Personal expression
Key Requirements
Enrolled PhD student
Bioinformatics, Computational Biology, Computer Science, Statistics, Applied Mathematics, Physics, or related technical field
Full-time internship for 6 months
Mandatory university enrollment for internship duration