Intern - Computational Biology for Antibody Design(m/w/x)

# Intern - Computational Biology for Antibody Design **Penzberg** | **Full time** ### The Position We are seeking an intern who recently pursued a BSc or MSc program with experience in computational structural biology and/or machine learning. You will join the “birthplace” of therapeutic proteins in Roche’s discovery unit and work on the development of novel machine-learning-based approaches for antibody design. The objective of this project is to predict how antibodies bind their targets. Thus, you will be analyzing public and in-house data to identify characteristics of protein and antibody interactions. Based on this preliminary analysis, you will develop tailored structure-based machine learning methods to predict antibody-antigen binding affinity. Tailored machine learning architectures such as geometric GNNs will be applied for this project. This project plays a role in significantly accelerating the design of therapeutic antibodies. You will have the opportunity to disseminate your findings to our cross-functional project teams, contributing to Roche’s innovative research efforts. **We are looking for individuals who are:** * Creative problem solvers, quick learners, and comfortable experimenting with new approaches * Highly productive and enjoy dealing with ambiguity and applying novel methodologies. **Responsibilities:** * Collaborate with the host team to evaluate potential antibody design techniques and applications. * Develop and interpret machine learning algorithms to address selected research questions, including model selection and data preparation. * Proactively share learnings and knowledge to support the development of the wider Roche computational community. * Help shape the direction of machine learning and artificial intelligence within Roche. **Preferred Experience and Competencies:** * Knowledge of software development and fluency in Python. * Understanding of machine learning frameworks (e.g., PyTorch, Jax, TensorFlow). * Experience with antibody informatics, protein structural modeling, and protein-protein interaction characterization. Experience in data mining methods is a plus. * Familiarity with technologies required to undertake analyses on large data sources or with computationally intensive steps (Linux, HPC cluster computing) * Strong communication and collaboration skills. * Experience implementing reproducible research practices like version control (e.g., using Git) is a plus. **Qualifications Required:** * MSc degree candidate or recent graduate in Bioinformatics, Statistics, Biomedical Engineering, Computer Science, or a related field with a Biology background. **Your benefits:** * Flexible time management * 2092€ salary per month for a full-time internship > 3 months * Reduced meal prices (-50 %) in our employee canteen * Networking with other students * The possibility of accommodation in the Roche Boarding House or convenient transport connections to Munich with the Roche Shuttle **Tags:** # ai #proteindesign #antibodydesign #immunoinformatics #deeplearning #ml #machinelearning #statistics #joinRoche #haveAnImpact #dataScience **Roche is an Equal Opportunity Employer.**