Intern – Data Science at Roche Kenya

Job Description

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Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system.

The Position

As an Intern in the Data Scientist team you will:

Be accountable for the development and implementation of Data Science products. Support proactive identification of the most relevant analytical use cases in collaboration with the key stakeholders. Support prioritisation efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster. Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders. Provide methodical and implementation guidance as well as hands-on support around analytical use cases. Communicate findings and market the value of use cases to key stakeholders. Contribute to positioning data science as a key competency within the enterprise Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different specialties. Be a role model for knowledge sharing within the DnA chapter.

Qualifications

Graduate level (master or PhD ongoing) academic ground in computer science/ statistics/ mathematics/Economics, etc. Discover opportunities for data acquisition and develop scalable data set processes for data modeling, mining and production. Good experience running SQL queries and fluency pulling data from structured datasets. Good experience in Google Sheet, Excel, BI tools (Tableau, Qlickview…). Nice to have: programming skills (Python, C++, etc) along with understanding or knowledge of statistical and machine learning models. Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects Ability to work independently, prioritize within an interdisciplinary environment that includes scientists, engineers, business and consultants Summarizing the results of analyses into finalized minimal viable products / dashboards and communicating analytical insights via effective synthesis tools (Google slide, PPT …) Keen on expanding your experience and leveraging data analytics methodologies in a world leading pharmaceutical company.