Intern - Computational Biology for Antibody Design
Intern - Computational Biology for Antibody Design
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Job Description
At Roche you can show up as yourself embraced for the unique qualities you bring. 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. This is how we aim to prevent stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche where every voice matters.
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 Roches 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 Roches 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
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Required Experience:
Intern
Employment Type
Full-Time
