Analytical Development Scientist - Proteomics (Contract)

Vertex PharmaceuticalsBoston, MA
1d$65 - $72

About The Position

Vertex pharmaceuticals is seeking a research scientist to join the analytical development, cell and gene therapy team. This position is expected to serve as a key contributor in expanding our proteomics mass spectrometry characterization capabilities for supporting cell and gene therapy program development. Extensive hands-on experience in liquid chromatography-mass spectrometry-based proteomics is required. The individual in this role will collaborate closely with research, process development, manufacturing, regulatory, and quality to develop and innovate Vertex next generation Cell and Gene Therapy products. This is a 12 month contract, with chance to extend.

Requirements

  • Strong hands-on experience on LC-MS based proteomics analysis and Orbitrap mass spectrometers is required.
  • Strong hands-on experience with advanced proteomics sample preparation techniques for protein isolation from cells, sub-cellular fractionation, histone extraction, immuno- or chemical affinity purification is required.
  • Strong hands-on experience with label free and TMT based multiplex quantification is required.
  • Strong hands-on experience with proteomics data analysis with commercially available software platforms is required. Experiences with both data dependent acquisition and data independent acquisition are preferred.
  • Demonstrated capabilities to independently digest and formulate experimental conclusions by referencing orthogonal analytical results.
  • Ability to use information gained from experiments to inform method and program decisions.
  • Skilled in efficient study design and demonstrated expertise in writing SOPs, analytical protocols, and reports.
  • Ability to multi-task as necessary, managing competing priorities, and advancing multiple projects within required timelines.
  • Demonstrated ability to work cross-functionally to drive communication, strong track record in cross-team collaboration.
  • Strong oral and written communication skills.
  • Typically requires the following, or the equivalent combination of education and experience: PhD (0-2 years), or Master's (4+ years), or Bachelor's (6+ years) relevant experience in biopharmaceutical industry.

Nice To Haves

  • Experiences with single cell proteomics and multi-omics data integration are preferred.

Responsibilities

  • Provide hands-on support for mass spectrometry-based proteomics characterization and perform biological pathway & bioinformatics analysis. Mass Spectrometry analysis includes but not limited to tandem-mass-tag (TMT) and label-free quantification, data-dependent and independent acquisitions, sub-cellular fractionations, Post translational modification (PTM) enrichments, etc.
  • Conduct proteomics experiments on different cell types (intracellular and cell surface) including but not limited to stem cells, differentiated cells, different cellular compartments, and understand post translational modification profiling at proteome level through different sample preparation and mass spectrometry fragmentation techniques.
  • Perform proteomics data analysis using relevant software, including protein ID, quantitation, statistical and pathway analysis.
  • Perform biotherapeutic characterization using state-of-art LC-MS platforms (Orbitrap, Q-ToF, QQQ, etc.) coupled with different front-end chromatographic separation techniques (reverse phase, HILIC, ion exchange, size exclusion, etc.) to advance Vertex’s pipeline.
  • Lead development of new proteomics approaches to advance the understanding of Vertex pipeline molecules.
  • Provide expertise in experimental design, data analysis, assay trouble shooting, technical report writing, and presentations.
  • Interface with external vendors and partners, manage external sample testing, review and analyze data as needed.
  • Author analytical method, qualification, and validation reports; author data summary reports.
  • Maintain proper documentation of experimental results and data interpretations.
  • Ensure data quality and maintain data integrity of analytical results to support decision making.
  • Collaborate with research and process development teams to develop fit-for-purpose analytical characterization methods for target optimization, product characterization, and product investigations.
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