Internship with Prescient Design

Job description

The Position

Our Department

The Swiss Machine Learning group within Prescient Design in Genentech/Roche provides an dynamic academic environment for cutting-edge multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) and Pharmaceutical Research and Early Development (pRED) partners and research units.

Our mission is to develop and apply methods for designing novel macromolecules. Our researchers primarily focus on deep learning. We focus on methods incorporating (graph/geometric/combinatorial) structure, but are also more broadly interested in approaches capable of effective representation learning. To this end, we closely collaborate with a large number of project teams across the company.

This internship position is located in Basel Switzerland, on site.  

Key Responsibilities

You will develop methods for improving cutting-edge generative models for proteins.
You will collaborate closely with our team in Basel, New York, and San Francisco.
You are expected to contribute to and drive publications, and present your results at internal and external scientific conferences.

Program Highlights

Intensive 6-12 months, full time (40 hours per week) internship.
Program start dates are in May/June (Summer) 
Ownership of challenging and impactful business-critical projects.
Work with some of the most talented people in the biotechnology industry.

Who You Are

- Must be pursuing a Ph.D. or master in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, related technical field, or equivalent practical experience. In cases of outstanding excellence, we will also consider applications of master students.
- Good knowledge of machine learning fundamentals, in particular generative models. Optionally, knowledge in graph representation learning and geometric deep learning would be helpful. Experience with ML on biological data is desired but not necessary.
- Proven publication record and experience contributing to research communities, including relevant journals or conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc.
- Detailed hands-on experience on building and training neural networks — experience with at least one DL framework (preferably Pytorch), keen to build unconventional models, a knack for getting things to work.    
- Basic knowledge of stochastic calculus would be helpful.

Other Preferred Qualifications

Excellent communication, collaboration, and interpersonal skills.
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

General requirements: 

- You are an enrolled university student in your Master’s or PhD programme, or alternatively have pursued your Master’s degree not longer than 12 months prior to the start date. 

Due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents, and must be continuously enrolled in their university program for the whole duration of this internship. 
 

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.

Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.

We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.

Roche is an Equal Opportunity Employer.