Startups · AI

Scientist I, Bioanalytical

Nurix AI · Brisbane, California · On-site

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About Nurix AI

AI agents that run your enterprise workflows and get measurably better over time. 150+ enterprises live in production across retail, insurance, and financial services. Backed by Accel and General Catalyst.

About the role

Help drive Nurix’s drug discovery programs by turning complex biological samples into the high-quality bioanalytical data that guides decisions. You will develop and run LC-MS/MS assays for targeted protein degrader candidates and work closely with pharmacology, chemistry and biology teams. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Experience in targeted protein degradation or heterobifunctional degrader platforms
  • Extensive experience with H/UPLC and mass spectrometry
  • Extensive experience with sample analysis to support PK, PK/PD, efficacy, distribution, metabolism, and non-GLP toxicology studies
  • Extensive experience in developing and implementing quantitative LC-MS/MS based assays for small molecules in complex biological matrices
  • Excellent oral and written communication skills
  • Experience reviewing result files and reports from bioanalytical contract research organizations
More about this role

Help drive Nurix’s drug discovery programs by turning complex biological samples into the high-quality bioanalytical data that guides decisions. You will develop and run LC-MS/MS assays for targeted protein degrader candidates and work closely with pharmacology, chemistry and biology teams.

Nurix Therapeutics is searching for a motivated Scientist I to join our Bioanalytical team. The successful candidate will contribute to the bioanalytical efforts to support Nurix drug discovery programs involving in vivo and in vitro studies. The primary responsibility will be to conduct quantitative bioanalysis for in vivo samples. The scope of the daily responsibilities for this position includes, but is not limited to, developing bioanalytical methods, quantitating drug candidates and their metabolites, endogenous biomarkers in biological matrix (e.g. blood, plasma, tissues, tumor, CSF, etc.), and reporting high-quality data. The successful candidate will have extensive experience in bioanalytical method development and sample analysis using LC-MS/MS and other analytical techniques.

  • Provide bioanalytical support for in vivo PK, PK/PD, efficacy studies, non-GLP toxicology and in vitro...

Read the full posting on Nurix AI's site ↗

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