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The Position

About us 

We are Roche, a biotechnology company with an annual revenue of over $70 billion, 100,000+ employees in over 150 countries.

Throughout our 125-year history, Roche has grown into one of the world's largest biotech companies, as well as a leading provider of in-vitro diagnostics and a global supplier of transformative innovative solutions across major disease areas.

We focus on finding new medicines and diagnostics and establishing data-based insights that evolve the practice of medicine and help patients live longer, better lives.

Problem Statement 

Clinical trials generate a lot of data, at Roche/Genentech, we use this data in order to make clinical trials more efficient, and effective. Joining Roche/Genentech, you will be at the forefront of innovation within drug discovery and clinical trials. Whether it is in developing open source tools or developing tools that will be used by more than 1000 fellow Roche/Genentech data scientists, you will be working in a multifaceted international team that will be developing and testing software prototypes. 

Main objectives of the internship:

Product Design

Understand and Apply Product Design: Gain a solid understanding of product design in the context of drug discovery.

Exploration Phase: Learn how teams define and iterate on planned analyses listed in the tool, and understand how these analyses evolve over time.

Workflow Insight: Develop a thorough understanding of the entire workflow, from initial concept to insight generation.

Technology Evaluation: Evaluate various technologies to determine the best solution for upgrading the web application, with a focus on the R Shiny framework, Python, and SQL.

Collaboration

Stakeholder Interaction: Work closely with data science stakeholders to ensure alignment of goals and expectations.

Peer Collaboration: Collaborate directly with other interns and receive constructive feedback on code and stakeholder interactions from your supervisor.

Data Modeling and Software Engineering

Data Model Design: Design a data model to gather and speed up loading of the data

Software Development:  Develop and implement various software components to extract meaningful data insights. UI: Add some visuals / dashboards / predictive analytics and other insights.

Who you are

Required Qualifications:

• You are currently enrolled as Master student or graduated within 1 year

• Strong background in computer science or related fields.

• Solid knowledge of Python and/or R (including R Shiny).

• Proficiency in SQL.

Preferred Qualifications:

• Interest in drug discovery (considered a plus).

• Diverse, multidisciplinary approach to software development, including:

• Understanding user needs.

• Evaluating the pros and cons of various technologies.

• Proficiency in additional programming languages (e.g., C++, C#, Java, JavaScript, etc.).

• Familiarity with CI/CD principles.

• Experience with package development (unit testing, debugging).

• Knowledge of collaborative software development tools (e.g., GitHub, GitLab).

• Understanding of Machine Learning frameworks.

Application Guidance:

Highlight relevant projects and the technology stack used for each in your application.

Willingness to experiment and learn new technologies is highly valued.

Why joining us

Joining Roche/Genentech, you will be exposed to some of the latest tools in drug discovery. We have our own internal tools like a ChatGPT instance that you will be able to experiment with. Additionally, we have some pioneering work being done that encompasses machine learning to automate clinical trials.

From a cultural perspective, all team members are very eager to deliver high quality products and are aware that their work has a positive impact in the open source community. It is an environment where the learning never stops and the technology is always cutting edge.