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Publisher
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Novartis

Data Science and AI Innovation Postdoctoral Fellow in Human Disease and Clinical Data Novartis in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Novartis

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Keywords

Computer Science
Data Science
Biology
Artificial Intelligence
Medical Science
Clinical Data
Sports Analytics
Statistics
Post Doc

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About this position

Novartis is advertising a Data Science and AI Innovation postdoctoral fellow role within its Data42 data science team. The position is centered on helping the team understand human disease using clinical data at scale, with a strong emphasis on data science, artificial intelligence, and advanced analytics.

This is a research-oriented postdoctoral opportunity for candidates who are driven, curious, and innovative, and who are willing to experiment. The post does not list detailed eligibility criteria, but the wording suggests a strong fit for applicants with training in computational or quantitative research, especially those interested in biomedical data, disease modeling, and AI-enabled discovery.

The announcer shown in the post is Birgit Schoeberl, who is associated with Harvard Business School and Novartis. A LinkedIn profile link is included in the post, along with the LinkedIn share URL for the opportunity.

No funding details, deadline, or formal application instructions are provided in the text. Interested applicants should review the LinkedIn post and any linked materials for the next steps.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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