Senior Data Scientist Gen AI/NLP

4 weeks ago

Cambridge, Massachusetts, United States Novartis Group Companies Full time
Job Description

Location: Cambridge, MA

The AI & Computational Science (AICS) team at Biomedical Research, Novartis is at the forefront of innovating drug discovery with AI.

We are seeking a highly motivated technical and scientific leader in the field of Generative AI to push the boundaries of disease understanding and drug discovery.

In this role, you will have the opportunity to create impact at the intersection of scientific research, drug discovery, and AI.

Key Responsibilities:

  • Designing, developing, implementing, training, testing, and refining modern deep learning AI models for data that is typically represented as sequences, such as text, graphs, or biological sequences.
  • Applying a deep understanding of foundation models, including pre-trained and large language models, to build generative AI applications in the domains of biology, chemistry, and text.
  • Designing and developing innovative AI model architectures that leverage principles from encoder/decoders, jointly trained models, Siamese-twin models, VAEs, GANs, etc.
  • Taking a hands-on role and delivering on highly visible projects.
  • Conducting applied AI experiments using scientific, rigorous, and reproducible methodologies on internal and public datasets to ensure publishable results.
  • Serving as an ambassador for AI/Data Science by presenting and publishing articles.
  • Building bridges between academia, technology, and industry partners.
  • Keeping up-to-date with the latest developments in the field and mentoring associates.

Requirements:

  • Deep knowledge of standard AI models, such as Transformers, RNNs, and CNNs, used in NLP and other sequence data domains.
  • Extensive experience with Large Language Models (LLMs), including prompt engineering, use of embeddings, RAG, LangChain, and application architectures using LLMs.
  • Emerging uses of AI for biology and chemistry, leveraging models from NLP.
  • Experience with knowledge graphs and Graph Neural Networks.
  • Expert-level Python programming skills.
  • Ability to work effectively in a team and elevate the team's performance in all aspects.
  • Cloud computing optimization for high-performance AI model training.
  • Understanding of explainability, bias, and ethics in applying AI models.
  • Statistical methods necessary to analyze results for AI models, including statistical significance testing.
  • An advanced degree (master's or doctoral) in computer science or a closely related computational field.
  • Three or more years of relevant leadership and publication track record in deep learning and applied AI research and application.

Why Novartis?

We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation.

We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility.

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

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