Postdoctoral Fellow, Transcription Regulation Using Genomics And Machine Learning
Biohub
New York, United States
Not specified; not specified; not specified
On-site
Phd in molecular biology or related field
Genomic library preparation expertise
Crispr editing and screening experience
Biohub is a large-scale initiative integrating frontier AI models, massive compute, and experimental capabilities to accelerate scientific discovery and cure disease
Job Summary
Biohub is a large-scale initiative integrating frontier AI models, massive compute, and experimental capabilities to accelerate scientific discovery and cure disease.
The role involves defining how transcription factors control gene expression and mapping how cancer-associated mutations disrupt these programs using advanced genomic technologies.
Candidates will collaborate closely with AI scientists to apply protein language models for predicting novel molecular functions and validating predictions through rigorous laboratory experiments.
Matching Summary
Biohub is a large-scale initiative integrating frontier AI models, massive compute, and experimental capabilities to accelerate scientific discovery and cure disease.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
PhD in Molecular Biology or related field
Genomic library preparation expertise
CRISPR editing and screening experience
Transcription factor biology knowledge
GRO-seq PRO-seq CUT&RUN ATAC-seq skills
Nice-to-have
Experience with protein language models
Background in immune cell reprogramming
Collaboration with AI/ML scientists
Patient sample processing experience
Organoid system development skills
Key Requirements
PhD in Molecular Biology, Cancer Biology, Genetics, Genomics, or related field
Strong hands-on experience in genomic library preparation
Expertise in mammalian cell culture and engineered cell models
Demonstrated publication record in transcription factor biology or epigenomics