Associate Scientist #26-24888

US Tech Solutions•Thousand Oaks, CA

About The Position

In this vital role, the scientist will be responsible for analytical characterization of pre-clinical biotherapeutic monoclonal antibody (mAb) drug candidates with emphasis on sample preparation, liquid chromatography, mass spectrometry, and statistical data processing. The ideal candidate should be able to perform one or more of the following: Creation of mass spectrometry software analysis tools for data post-processing for reporting and data aggregation. Utilization of Claude Code, Codex, Python, and other modern AI tools. Sample preparation, including reduction and alkylation of disulfide bonds, and enzymatic digestion of mAb. Liquid chromatography - mass spectrometry (LC-MS/MS) peptide mapping analysis and data processing to identify and quantify the PTMs. Physical automation of the sample preparation, including digestion for peptide mapping on Hamilton liquid handler. LC-UV-MS analysis of intact mAbs, including mass deconvolution and identification of the mAbs, their forms, and fragments. This position is also responsible for providing scientific results that support the generation of regulatory submissions, patents, and publications, and exploring and evaluating emerging technologies relevant to MS-based characterization of therapeutic proteins.

Requirements

  • Sample preparation, including reduction and alkylation of disulfide bonds, enzymatic digestion of mAb
  • Liquid chromatography - mass spectrometry (LC-MS/MS) peptide mapping analysis and data processing to identify and quantify the PTMs
  • Physical automation of the sample preparation, including digestion for peptide mapping on Hamilton liquid handler
  • LC-UV-MS analysis of intact mAbs, including mass deconvolution and identification on the mAbs, their forms and fragments
  • Creation of mass spectrometry software analysis tools for data post-processing for reporting and data aggregation
  • Utilization of Claude Code, Codex, Python and other modern AI tools
  • Expertise with modern AI and programming tools, including Claude Code, Codex, Databricks, Python
  • Expertise with statistical analysis software
  • Laboratory work skills, including manual and automated sample preparation

Nice To Haves

  • Ph.D. or Master’s or Bachelor’s in analytical chemistry, biochemistry, computer sciences, bioinformatics
  • Familiarity with mass spectrometry of proteins, peptides and glycans
  • Familiarity with mass spectrometry data processing software packages (BioPharma Finder, Skyline, Byonic, Byos, Expressionist)

Responsibilities

  • Analytical characterization of pre-clinical biotherapeutic monoclonal antibody (mAb) drug candidates
  • Sample preparation, including reduction and alkylation of disulfide bonds, and enzymatic digestion of mAb
  • Liquid chromatography - mass spectrometry (LC-MS/MS) peptide mapping analysis and data processing to identify and quantify the PTMs
  • Physical automation of the sample preparation, including digestion for peptide mapping on Hamilton liquid handler
  • LC-UV-MS analysis of intact mAbs, including mass deconvolution and identification of the mAbs, their forms, and fragments
  • Creation of mass spectrometry software analysis tools for data post-processing for reporting and data aggregation
  • Utilization of Claude Code, Codex, Python, and other modern AI tools
  • Providing scientific results that support the generation of regulatory submissions, patents, and publications
  • Exploring and evaluating emerging technologies relevant to MS-based characterization of therapeutic proteins
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