Sapient Bioanalytics

Sapient Bioanalytics

Research Scientist III / Senior Research Scientist

San Diego, CA · Senior · Full-time

Sponsorship not specified$85k-$115kDetected 19 days ago
Data AnalysisResearchMass Spectrometry

About the role

  • We are in search of a Research Scientist II|/Senior Research Scientist with expertise primarily in proteomics workflows for complex matrices (e.g., biosamples) to join our interdisciplinary bioanalytical team here at Sapient.

Requirements

  • For RSIII/SRS: Experience with size exclusion chromatography, nanoparticle and other proteomics enrichment preparations, BCA and SPE techniques.
  • Familiarity with mass spectrometry techniques (preferably untargeted LC-MS, however targeted LC-MS is also favorable) and working in a BSL2/BSL2+ environment.
  • Demonstrates the ability to complete projects in a communicative and timely manner under regulatory guidance.
  • Experience with size exclusion chromatography, nanoparticle and other proteomics enrichment preparations, BCA and SPE techniques.

Compensation

  • $85k-$115k

Company info

  • Sapient is an early-stage fee for service, contract research organization in San Diego, CA.
  • Our focus is on accelerating drug development and transforming personalized medicine for our pharma and biotech clients.
  • We are an agile, highly collaborative team of passionate scientists, committed to making innovations with scientific rigor, and executing in a timely manner in accordance with key regulatory standards.
  • Combining state-of-the-art mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale to provide a deeper understanding of human biology and effectively align biological targets, patients, and drug therapies in support of our clients.
  • About Us Sapient is an early-stage fee for service, contract research organization in San Diego, CA.

This listing is sourced directly from Sapient Bioanalytics's careers page and normalized into a canonical job model.