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Novartis Pharmaceuticals 2021 Summer Graduate Intern - NBS - AI Innovation 2 in Cambridge, Massachusetts

308627BR

Job ID:

308627BR

Job Description:

799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

This role will work to extend the idea of activation mapping from convolutional neural networks used in image processing/analysis to more arbitrary model architectures (autoencoders, etc) and data types (tabular data, etc).

The result of this internship is multi-fold. First, a system will be developed/extended to enable user interaction with complex activation data in an intuitive and meaningful way. Second, this system will be able to not only use CNNs for image analysis, but more general architectures for other input data types. Finally, this work should be publishable in appropriate high level venues (IEEE Vis, IEEE TVCG, etc) and/or domain specific journals\n\n\n\n

Position Title:

2021 Summer Graduate Intern - NBS - AI Innovation 2

Minimum requirements:

Candidate should be in an accredited degree-granting college or university pursuing a graduate degree

Minimum Requirements:

Good written and oral communication skills, ability to interact and build relationships across scientific disciplines, familiarity with User Interface development in JavaScript, Python, etc. Experience with Tensorflow, Keras, PyTorch or similar methods.

Preferred Competencies/Experiences:

Proficient in Python, visualization/visual analytics, and experience working with experts in other fields. Experience using Keract or similar library for activation and gradient discovery.

If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

Imagine what you could do at Novartis!

Commitment to Diversity & Inclusion

Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusion workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.

Novartis is an equal opportunities employer and welcomes applications from all suitably qualified persons.

Join our Novartis Network

Job Type:

Full Time

Company/Legal Entity:

Novartis Services Incorpo

Country:

USA

Work Location:

Cambridge, MA

Functional Area:

Data Science

Division:

CORPORATE

Business Unit:

DIGITAL OFFICE

Employment Type:

Internship

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Sourcing Statement:

You are applying to be part of the Novartis Talent Pool. We are not currently recruiting for this role but we are building a pipeline for future opportunities. If you would like to be considered for a similar position in future, then please submit your CV.

Shift Work:

No

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