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Postdoctoral Research Scientist, Proteomics

Neurocrine Biosciences
Remote friendly (San Diego, CA)
United States
$89,800 - $123,000 USD yearly
Clinical Research and Development

Role Summary

Our biologics research team seeks a motivated, talented and collaborative scientist to apply mass spectrometry-based proteomics to pharmaceutical discovery, including applications in target identification, target engagement and pharmacodynamic biomarkers. The qualified individual will work closely with in-vitro and in-vivo pharmacology as well as project teams to design and execute proteomics studies. The position requires excellent scientific, technical and laboratory skills, strong organizational and communications skills, and enthusiasm for contributing to a fast-paced organization focused on discoveries of novel and differentiated therapeutic candidates.

Responsibilities

  • Develop robust proteome profiling and quantitation assays, perform in-house experiments on biological samples
  • Work closely with the MS team to effectively utilize the state-of-the-art instruments to implement proteomics methodologies that will meet the needs of the stakeholders
  • Perform data analysis utilizing commercially available software and in-house developed platforms. Optimize various parameters to maximize the value extracted from acquired data
  • Collaborate with project, pharmacology and translational biology teams as the subject matter expert, design and execute studies, analyze data and interpret results
  • Maintain high quality standards for in-house studies through sample preparation, data acquisition and analysis, ensure quality and delivery of outsourced studies
  • Present data at team meetings, lead discussions to guide decision making, prepare manuscripts for publication

Qualifications

  • Solid understanding of mass spectrometry and current proteomics techniques, hands-on experience on LC-MS instruments, immunoprecipitation and bottom-up sample preparation is required
  • Experience on high-resolution TOF and/or Orbitrap mass analyzers is a plus
  • Experience in methods including DIA, TMT and chemical labeling is desired
  • Working knowledge of data processing software, experience in R or Python is desirable
  • Experience monitoring and troubleshooting instrumentation, including mass spectrometers, and associated LCs, to maintain up time
  • Strong understanding and experience in documenting all sample preparation, method development notes, author scientific reports/publications and protocols/SOPs
  • Strong collaboration skills and the ability to work in / lead cross functional or multidisciplinary projects / teams, with a specific focus on how core technology is successfully applied to achieve the broader goals
  • Outstanding organizational skills and the ability to work independently

Education

  • PhD in chemistry, biochemistry or biology