Full-Time

Research Scientist

Multimodal Large Language Models, Llms

Posted on 8/26/2024

Chan Zuckerberg Biohub

Chan Zuckerberg Biohub

51-200 employees

Nonprofit research center for disease understanding

Data & Analytics
Biotechnology

Compensation Overview

$131k - $205.7kAnnually

Mid

San Francisco, CA, USA

Category
Applied Machine Learning
Deep 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 and technology development. It collaborates with top universities to study the basic mechanisms of diseases and create new diagnostic tools and therapies. The Biohub combines the expertise of engineers, data scientists, and researchers to tackle complex health challenges. Unlike many research institutions, it emphasizes a collaborative approach, pooling resources and knowledge from multiple prestigious universities. The goal of the Chan Zuckerberg Biohub is to advance scientific understanding and improve health outcomes through innovative research.

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Expansion into New York enhances collaboration with leading institutions.
  • AI initiatives align with growing trends in drug discovery and precision medicine.
  • Genomic training initiatives support underrepresented medical students.

What critics are saying

  • Expansion may strain resources and management capabilities.
  • Potential ethical concerns with AI model reliance.
  • Collaboration with multiple universities could lead to intellectual property disputes.

What makes Chan Zuckerberg Biohub unique

  • CZ Biohub unites top universities for collaborative biomedical research.
  • Focus on AI-driven models for disease detection and treatment.
  • Pioneering cellular endoscopes for early disease monitoring and intervention.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Company Match

Family Planning Benefits

Fertility Treatment Support

Childcare Support

Unlimited Paid Time Off

Paid Vacation

INACTIVE