Data Analytics Intern at Roche

Ref No: 202111-132183

Overview

• The digitalisation of healthcare has created a direct link between data analytics technology and patients. In this Africa Data Analytics Internship programme, you can explore different corners of the field - maybe even surprising yourself with new interests - while making a difference to people’s lives.
• Your passion can make an impact.

Programme Content:
Our programme is for early-in-career talents that provides an entry gate into a company with global impact. The following bullets provide information about the structure of the programme, what's in it for you and what we expect from you as an applicant:

• Duration: 12 months
• Position based in Roche affiliates across Africa (Morocco, Tunisia, Ghana, Nigeria, Kenya, and South Africa). 
• Opportunities to work with different stakeholders on various projects in the healthcare field, ranging from DNA sequence analysis, market insight generation, digital solution buildup, etc.  

What You Can Expect:

• Real work experience and project responsibilities - we encourage ownership and entrepreneurship. 
• Professional and personal development – including mentoring and coaching by commercial leaders and data science experts. 
• Enhanced knowledge of the Roche Pharmaceuticals and Diagnostics business and its product portfolio
• Exposure to IT core processes as well as our Pharma and/or Diagnostics R&D, Commercial and Corporate Functions business
• Global experience and cross-cultural understanding
• Extensive global people network.

Who You Are

• You are someone who wants to influence their own development.
• You are looking for a company where you have the opportunity to accelerate your career by taking on assignments across different functions and geographies.
• You are someone who is enthusiastically looking for an opportunity to make an impact in the healthcare industry. 

As an ideal candidate, you fulfil all of the requirements below:

• You have an excellent academic background (4th grade B.Sc / M.Sc / PhD) and recently graduated with a strong focus on information technology/quantitative fields.
• Data analysis capabilities: ability to discover data analytics questions from commercial scenarios, as well as conduct basic data analysis. 
• Data engineering skills: familiar with data manipulation tools, database management, and data visualization. Experienced in software tools such as Tableau, Data Studio, SQL, etc. 
• Data science knowledge: hands-on experience of mathematical modeling/ statistical analysis/ machine learning. Programming skills (Python, R).  
• Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
• A quick learner and passionate about continually adapting your skills and knowledge
• Keen on expanding your experience and leveraging data analytics methodologies in a world-leading pharmaceutical company.
• Fluent in English; an additional language would be an asset

Certain experience will be considered as a plus and will enable placement in particular projects:

• Business administration capabilities, such as business demand analysis, project management, etc.
• Biomedical knowledge, such as genomic science.