Dash Job - Imaging and data science Intern - Novartis Pharma AG

:mega: Plotly Dash Skills: Experience with using data visualization and dashboarding tools such as Plotly/Dash

Company: Novartis Pharma AG

Title: Imaging and data science Intern

Category: Full Time

Location: Basel, Switzerland (On-site)

Experience: Intern

Application: Link to apply


Minimum requirements

Minimum Requirements

• Programming in Python and/or R, with good knowledge of statistical data modeling and image analysis
• Experience with using data visualization and dashboarding tools such as ggplot2, D3.js, Plotly/Dash, HTML Canvas or RShiny.
• High learning agility, developed scientific curiosity and a desire to make a difference for patients
• Solution-based approach to problem-solving
• Excellent analytical and organizational skills
• Strong interpersonal and communication skills, recognized as a team player and ready to take the initiative
• Fluency in written and oral English

Additional Preferred Experience

• Experience in one or more of the following fields is desirable: computer vision, statistics, genomics, (medical) imaging analysis
• Basci knowledge of MRI
• Basic knowledge of biology and clinical science
• Experience in a deep learning framework (Pytorch, Tensorflow)
• Experience in working and scripting in a Unix/Linux and high-performance computing environments

Why Novartis?
799 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives. We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what’s possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!