Senior Scientist

Tabula BioMadison, WI

About The Position

Tabula is building an AI-first therapeutics company focused on bacteriophages to combat antibiotic resistance. The company integrates computational and experimental work, with the wet lab being a core part of the system for model building, data generation, and hypothesis testing. This role is for a Scientist to help build the synthetic phage engineering capability, involving hands-on bench work in molecular biology, synthetic biology, and phage engineering. The work includes construct design, assembly, cloning, assay execution, troubleshooting, and data generation to support the company's AI-driven approach. Collaboration with the lab team and computational counterparts is key. The ideal candidate enjoys building, testing, iterating, and learning from experimental results in a fast-paced research environment.

Requirements

  • Hands-on bench role
  • Strong in molecular biology
  • Excited by synthetic biology
  • Interested in helping engineer and test bacteriophages
  • Experience with construct design and assembly
  • Experience with cloning
  • Experience with assay execution
  • Experience with experimental troubleshooting
  • Ability to generate data that powers a larger technical system
  • Experience doing real bench science recently
  • Likes building things in the lab, not just analyzing them afterward
  • Cares about experimental quality and can troubleshoot effectively when things fail
  • Excited by the idea of working on engineered living therapies
  • Wants work to feed directly into a larger system that combines wet-lab science and machine learning

Responsibilities

  • Run core molecular biology and synthetic biology workflows related to phage engineering
  • Help construct, assemble, and test engineered phage variants
  • Execute host-phage assays and related experimental workflows with strong attention to data quality
  • Troubleshoot failures in constructs, assays, and protocols and improve them over time
  • Generate clean, useful experimental data that informs model development and research direction
  • Contribute to the growth of a small lab working on a technically ambitious problem with real-world consequences
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