AI-Driven Wet Lab Scientist (Fixed-Term)

Active Site

Cambridge (MA)

On-site

USD 74,000 - 105,000

Full time

12 days ago

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Job summary

Active Site is hiring a Research Scientist for a fixed-term project in Cambridge, MA, with on-site duties and AI-assisted biology tasks. You will perform hands-on molecular and cell biology experiments in a wet-lab setting, shaping protocols for future programs.

The ideal candidate has 2+ years of independent wet-lab experience in biological sciences, a STEM degree, and comfort troubleshooting. This temporary role emphasizes autonomous work and iterative protocol development in a

Qualifications

  • Minimum 2 years wet-lab research in biological sciences.
  • Experience with molecular biology and cell biology techniques.
  • Oxford nanopore library prep and sequencing.
  • DNA fragment design and ordering.
  • PCR and gel electrophoresis.
  • Site-directed mutagenesis.
  • Molecular cloning and plasmid prep.
  • Mammalian cell culture and transfection.
  • DNA/RNA extraction.
  • RT-qPCR and ELISA or binding assays.
  • Experience with bacteriophage systems.

Responsibilities

  • Designing, assembling, and modifying recombinant DNA.
  • Rescuing and characterizing benign viruses (titration, growth curves, neutralization).
  • Work with frontier AI to design and troubleshoot experiments.
  • Make day-to-day lab decisions independently, with or without AI guidance.

Skills

Hands-on wet-lab experience
Independent lab work
Biological sciences background
Troubleshooting skills

Education

Bachelor's or Master's in STEM
PhD candidate welcome

Tools

BSL-2 lab

Job description

Active Site is hiring a Research Scientist for a fixed-term project in Cambridge, MA, with on-site duties and AI-assisted biology tasks. You will perform hands-on molecular and cell biology experiments in a wet-lab setting, shaping protocols for future programs.

The ideal candidate has 2+ years of independent wet-lab experience in biological sciences, a STEM degree, and comfort troubleshooting. This temporary role emphasizes autonomous work and iterative protocol development in a

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