Internship Data Science

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The Data Science group, within the Discovery Sciences (DSc) department at Biomedical Research, is looking for a talented and motivated intern to work on cutting… 391080BR

Internship Data Science Switzerland

About the role

The Data Science group, within the Discovery Sciences (DSc) department at Biomedical Research, is looking for a talented and motivated intern to work on cutting edge applications of large language models (LLMs) in biomedical data. This internship provides a unique opportunity to gain in-depth insight into the advanced technologies, platforms, and databases that support the drug discovery process. Working in a multi-disciplinary team, the intern will contribute to the creation of informatics tools that have direct impact on the pharmaceutical pipelines and learn how data science powers early-stage research. Preferred start date: March - May 2024 Latest start date: June 2024 Duration: 6-8 months #LI-Hybrid Key responsibilities:
  • Extract, collect, and curate knowledge from internal platforms to build robust AI models on biomedical data
  • Enable the integration of structured text data to accelerate biological findings
  • Design queries and prompts to generate biologically relevant tasks and explanations
  • Build and deploy interactive visualization tools, support the creation of a chatbot interface
  • Analyse and interpret results to uncover novel biological insights and explore compound-target-disease interactions

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Role Requirements

Essential requirements:
  • Recent master graduate (within the last 6 months) or master student with a quantitative background (bioinformatics, applied mathematics, physics, or related field)
  • Solid programming skills in Python, hands-on experience in Linux is a plus
  • Strong knowledge of machine learning and/or data science concepts, with an interest in biomedical AI applications
  • Ability to implement and develop algorithms on a large scale
  • Excellent oral and written English communication skills
Desirable requirements:
  • Experience with generative models, natural language processing (NLP), or large language models (LLMs) in a biomedical context
  • Knowledge in biology, chemistry, or biotechnology
Why Novartis: Our purpose is to reimagine medicine to improve and extend peoples lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

Division

Biomedical Research

Business Unit

DSc

Work Location

Basel

Company/Legal Entity

Novartis Pharma AG

Functional Area

Interns/Students on Novartis Payroll

Job Type

Full Time

Employment Type

Internship

Shift Work

No

Early Talent

Yes

Next Process

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Post Date : 01-02-2024