Full-Time

Research Scientist

Multimodal Large Language Models, Llms

Confirmed live in the last 24 hours

Chan Zuckerberg Biohub

Chan Zuckerberg Biohub

51-200 employees

Nonprofit research center for disease understanding

Data & Analytics
Biotechnology

Compensation Overview

$150k - $205.7kAnnually

Mid

San Francisco, CA, USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Natural Language Processing (NLP)
Requirements
  • PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics or a related field; or Masters with equivalent experience
  • 3+ years of experience with Python and relevant deep learning libraries (e.g., PyTorch, TensorFlow)
  • 3+ years of experience in designing and deploying large-scale language models or multimodal AI systems
  • Expertise in natural language processing (NLP), deep learning, and model training techniques
  • Proven track record of impactful publications and conference presentations in relevant areas
  • Excellent problem-solving skills and ability to work in an interdisciplinary environment
  • Strong professional judgment and problem-solving abilities that adapt to a variety of situations
  • Strong interpersonal skills with excellent written and verbal communication skills
Responsibilities
  • Design, develop, and implement multimodal LLMs that integrate textual, multi-omic, and image data
  • Lead the research and development of novel algorithms to process and align scientific literature with biological datasets for downstream analysis
  • Collaborate closely with computational biologists and experimental scientists to understand domain-specific challenges and optimize model performance
  • Manage large-scale datasets (scientific texts, omics data, and imaging) and build efficient data pipelines for training and evaluation
  • Drive innovative research to publish in top-tier AI and computational biology journals and present at conferences
  • Mentor junior scientists and engineers, fostering a culture of collaboration and continuous learning
Chan Zuckerberg Biohub

Chan Zuckerberg Biohub

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The Chan Zuckerberg Biohub focuses on biomedical research by uniting experts from Stanford University, UC Berkeley, and UC San Francisco. The center employs engineers, data scientists, and biomedical researchers who collaborate to explore the basic mechanisms of diseases. Their work aims to create new technologies that can improve diagnostics and lead to effective treatments. What sets the Biohub apart from other research institutions is its strong partnership with top universities and its commitment to translating scientific discoveries into practical healthcare solutions. The ultimate goal of the Chan Zuckerberg Biohub is to advance our understanding of diseases and enhance patient care through innovative research.

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2016

Growth & Insights
Headcount

6 month growth

2%

1 year growth

2%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Working at CZ Biohub offers the opportunity to collaborate with leading experts from prestigious institutions and cutting-edge research facilities.
  • The organization's focus on AI and high-performance computing provides employees with access to state-of-the-art technology and resources.
  • CZ Biohub's ambitious projects, like the development of virtual cell models and cellular endoscopes, offer the potential to contribute to groundbreaking scientific discoveries.

What critics are saying

  • The high expectations and ambitious goals of CZ Biohub may lead to a high-pressure work environment.
  • The rapid expansion and numerous initiatives could strain resources and lead to potential project management challenges.

What makes Chan Zuckerberg Biohub unique

  • CZ Biohub's unique collaboration with top-tier universities like Stanford, UC Berkeley, and UCSF fosters a multidisciplinary approach to biomedical research.
  • The establishment of AI Advisory Groups and residency programs positions CZ Biohub at the forefront of integrating AI into life sciences.
  • Significant funding and partnerships, such as the $370 million investment in New York biotech, underscore CZ Biohub's commitment to advancing scientific research.

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