Internship In Innovation & Sustainability - For Students In The Field Of Computational Chemistry, Data Science, Computer Science Or A Related Quantitative Discipline
Roche
Proficient in python programming
Experience with scikit-learn and pytorch
Knowledge of featurization methods
This internship offers a unique opportunity to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world
Job Summary
This internship offers a unique opportunity to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world.
As an intern, you will contribute to building a reliable AI-driven design framework for oligonucleotide research that reduces trial-and-error laboratory cycles.
The role involves creating a benchmarking leaderboard and integrating uncertainty quantification into machine learning models to support sustainable RNA drug discovery.
Matching Summary
This internship offers a unique opportunity to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world.
Skills & Requirements
Must-have
Proficient in Python programming
Experience with Scikit-learn and PyTorch
Knowledge of featurization methods
Understanding of uncertainty quantification
Master's or PhD in quantitative discipline
Nice-to-have
Experience with chemistry or biology applications
Familiarity with software deployment concepts
Ability to critically use AI agents
Independent and curious communicator
Key Requirements
Enrolled or completed Master's/PhD within last 12 months