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Student Support for Data Science in HR-IT (from April 2019, for 6-12 Months, 50-100%)

Inseriert am: 04.03.2019

Student Support for Data Science in HR-IT (from April 2019, for 6-12 Months, 50-100%)


Switzerland, Aargau, Kaiseraugst


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  • Job facts


At Roche, we believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives and we are fearless in both decision and action. And we believe that good business means a better world.


In HR-IT we analyze, consult and deliver state-of-the art IT solutions for HR for Roche globally.


Your main accountabilities will be:



  • Work together with our data scientists to develop analytical decision-making systems for our business

  • Understand complex and critical business problems across various functions and translate them into feasible technical specifications

  • Integrate and manipulate data from multiple data sources, utilize machine learning algorithms to turn raw data into actionable insights and solutions

  • Develop systematic approaches for algorithm evaluation, application maintenance and automation

  • Research on artificial intelligence best practice and other cutting-edge technology in the area of HR IT


We are keen to discover talents who are passionate about learning and show great curiosity in discovering new things. At the Roche Headquarter site in Basel/Kaiseraugst, employees from over 90 countries are doing now what our patients need next. We contribute our share towards achieving our mission and to make our vision of personalized healthcare happen. We offer you a multicultural workplace in a modern environment, which at the same time requires you to be open-minded and adaptable. You provide us with examples that prove your ability to cultivate collaborations with different partners. This also means that you continuously contrast your results with others and acknowledge the benefit of collaboration and communications.


Who you are


You’re someone who wants to influence your own development. You are looking for a company where you receive the opportunity to pursue your interests across functions and geographies. Working in a multi-cultural environment motivates you. As fast learner you actively drive the quality of the requirements.


What do you need in your toolbox?



  • Enrolled in a university / bachelor or master degree program in Computer Science, Applied Mathematics, Data Science, Electronic Engineering, Computational Biology, Economics or any other quantitative discipline

  • English language fluency and good writing/communication skills


You’re someone who is…



  • Passionate about utilize statistical modeling and machine learning methods to solve real world business problems

  • Confident in communicating and collaborates efficiently with team members, business partners and stakeholders from various domains

  • Able to present analysis result clearly and concisely to both technical and non-technical audiences

  • Result oriented, open-minded and a proactive problem-solver with great interest in solving challenges in a fast changing environment


Now for the fun stuff, you are interested in:



  • Various machine learning and econometrics algorithms (knowledge of common techniques within NLP, such as text processing, topic modeling, sentiment analysis, etc. preferred)

  • Classical and deep learning methods on unstructured data, familiarity with Keras, TensorFlow and/or PyTorch, NLTK, Gensim, SpaCy and Word2Vec preferred

  • Functional coding (e.g., C/C++, Python or Java), querying databases (e.g.,Oracle, MySQL, Hive), statistical analysis (e.g., R, Stata, SPSS or SAS) and data visualization (e.g., Tableau. R shiny, Plotly)

  • Working knowledge with large-scale computing, distributed system (e.g.,Hadoop, MapReduce, Spark) and cloud based environment (e.g., AWS. Azure)

  • Statistics, econometrics and probability (e.g., causal inference, classical and Bayesian statistics)

  • Writing reproducible code at production level for practical application of data products


The preferred start date of the student support position is April 2019 for 6-12 months. Please clearly indicate your preferred starting date and duration on your motivation letter. Applications need to include a CV and a motivation letter both merged in one document.


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.


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.


Roche strives to be an equal opportunity employer.


If you still have questions then please check our FAQs and videos on careers.roche.ch/faq.


Tags: ROiLS; ROiBI; ROiBU; ROiTEC; ROiBI; ROiCHI; ROiDS; ROiDG; ROiDIG; ROiCS; ROiSENG



  • Who we areAt Roche, 94,000 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.

    Roche is an equal opportunity employer.

  • Job facts

    • Location Switzerland, Aargau, Kaiseraugst

    • Function Vocational & Development Programs

    • Subfunction Internship

    • Schedule Full time

    • Job level Entry Level

    • Job type Temporary (Fixed Term)

    • Division Corporate Administration

    • Posted since 2019/03/04

    • Job-ID 201902-105977


  • Get in touchMelanie Lardelli

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