Who we are
At Roche, 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.
We change healthcare systems with Artificial Intelligence
As a Data Scientist within our Data and Analytics Chapter, you will be working on developing methodologies and algorithms to generate impactful evidence and insights for our business.
You will rely on your advanced analytical skills, and your ability to interact with cross-functional experts to enable us to optimize business performance, solve complex data problems and deliver the insight that helps to define our strategy.
We are looking for postdocs who have expertise in machine learning algorithms to give insights, by combining a profound understanding of the healthcare business and frontier of academic research.
In this role, you will:
Participate in various data processing activities in their different stages: from data discovery/generation and feature engineering to neural network model building as well as deployment into production
Work with data analysts to identify real-world data sources
Work with data and software engineers to translate prototypes into new products and services
Investigate, analyse and apply comprehensive machine learning algorithms across life science business contexts including research, development, and commercial
Investigate available tools and technologies in Machine Learning and Deep Learning
Support collaboration with third parties including academia and industry
Publish papers to demonstrate expertise in research areas
Who you are
You are someone who wants to influence your own development. You are looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.
You have a Doctor Degree with a strong focus on machine learning, mathematics, statistics or computer science. You are able to quickly grasp new concepts and you are eager to find solutions to uncommon challenges and real-life problems.
In addition, you bring the following skills and competencies:
Deep understanding of machine learning theory and practice (feature engineering, regularization, hyperparameter tuning, ensemble methods, neural networks architectures)
Excellent skills in implementing your ideas (preferably in Python)
Experience with MLOps is a plus
Autonomous and responsible; organized and structured in initiatives and work
Readiness to work in uncertainty regarding the resolution of a problem, the existence of means to resolve it and in the absence of precise objectives
You are a quick learner and passionate about continuously developing your skills and knowledge
Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business relevant solution
You are a strong team player and able to work effectively in a collaborative, fast-paced, multi-tasking environment
You have excellent communication skills and a demonstrated ability to interact with different teams and parties of the organization, such as business, technical and academic partners. Fluency in English is required.
Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
If you still have questions then please check our FAQs and videos on careers.roche.ch/faq.
Roche is an equal opportunity employer.
The next step is yours. To apply today, click on the Apply online button below.