Computational Biologist, AI/ML (Biohub NY) at Chan Zuckerberg Biohub

New York, New York, United States

Chan Zuckerberg Biohub  Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Biomedical ResearchIndustries

Requirements

  • PhD in Computational Biology, AI/Machine Learning, Applied Statistics, or MS plus relevant job experience
  • Background in relevant areas of biomedical science, demonstrating a deep understanding of cellular biology, transcription, and protein signal transduction
  • 2-4 years of post-doctoral and/or industry experience demonstrating the ability to implement, evaluate, and create new computational methodologies that leverage machine learning, statistics, and AI for biological research
  • Experience in research settings
  • Proven ability to design, evaluate, and publish innovative computational methodologies that leverage machine learning, statistics, language modelling, and AI to advance biological research and discovery
  • Strong track record of accomplishments
  • Dedication to collaborative work within a highly interdisciplinary environment

Responsibilities

  • Contribute to a dynamic, innovative, and collaborative program that aligns with the mission of CZ Biohub NY
  • Develop and evaluate cutting-edge computational methodologies using data generated from across all research groups and incorporating relevant available datasets to develop predictive models
  • Collaborate within an interdisciplinary research environment to develop, test, and validate models
  • Engage with colleagues throughout the Biohub to uphold values of scholarly excellence, innovation, open communication, hands-on hacking, and partnership
  • Communicate progress and results with colleagues inside and outside of your team
  • Publish and disseminate impactful findings through preprints (medRxiv, bioRxiv) and/or software repositories (e.g., GitHub)
  • Work with the CZ Biohub team to patent and license technologies resulting from your research

Skills

AI
Machine Learning
Computational Biology
Bioinformatics
Data Science

Chan Zuckerberg Biohub

Nonprofit research center for disease understanding

About Chan Zuckerberg Biohub

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.

San Francisco, CaliforniaHeadquarters
2016Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, BiotechnologyIndustries
51-200Employees

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

Risks

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

Differentiation

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.

Upsides

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.

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