Base: $71,000.00 - $89,000.00; bonus/equity: not s...
On-site
Bachelor's or master's degree in related field
1-2+ years hands-on research experience
Proficiency in python or r for data analysis
The Biohub is a large-scale initiative integrating frontier AI models, massive compute, and experimental capabilities to accelerate scientific discovery and cure disease
Job Summary
The Biohub is a large-scale initiative integrating frontier AI models, massive compute, and experimental capabilities to accelerate scientific discovery and cure disease.
The successful candidate will perform imaging-based multi-omics experiments and assist in engineering synthetic biology systems within the newly established Synthetic Spatial Omics Laboratory.
The role offers competitive compensation ranging from $71,000 to $89,000 along with benefits including a generous 401(k) match and paid volunteer time.
Matching Summary
The Biohub is a large-scale initiative integrating frontier AI models, massive compute, and experimental capabilities to accelerate scientific discovery and cure disease.
Salary
Base: $71,000.00 - $89,000.00; Bonus/Equity: Not specified; Benefits: Generous 401(k) match, paid volunteer time, family-forming funding, relocation support
Skills & Requirements
Must-have
Bachelor's or Master's degree in related field
1-2+ years hands-on research experience
Proficiency in Python or R for data analysis
Experience with cell culture and nucleic acid workflows
Knowledge of spatial multi-omics techniques
Nice-to-have
Enthusiasm for learning new cutting-edge techniques
Strong organizational skills and attention to detail
Ability to work independently and collaboratively
Commitment to open science practices
Interest in fundamental disease mechanisms
Key Requirements
Bachelor's or Master's degree in Molecular Biology, Cell Biology, Biochemistry, or Bioengineering
1-2+ years of hands-on research experience in academic or industry settings
Working proficiency in Python, R, or comparable programming languages