Scientist, LCMS PK Bioanalytical

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An exciting opportunity is available for a Scientist to join the PK LCMS group in Pfizer Andover’s Pharmacokinetics Dynamics and Metabolism (PDM) department to support LCMS bioanalysis of novel biotherapeutics including ADCs. Your key responsibilities include PK LCMS assay development and qualification, sample analysis from PK/TK studies, data processing and reporting, ensuring optimal LCMS instrument operation and maintenance. In this laboratory-based role you will employ various sample preparation strategies with focus on analyte enrichment/extraction from blood or tissue using protein or peptide immunoaffinity or other methods in conjunction with LCMS-based peptide detection.

In addition, your responsibilities will include technology development and adherence to scientific and ethical standards, including electronic documentation and peer review. With your contemporary skills, you will contribute to the transformation of our workflows using AI-enhanced computational tools. As an independent scientist, who pays attention to detail and is eager to learn, you will collaborate within multidisciplinary teams and your data will make a crucial contribution to the discovery and development of novel biotherapeutic candidate molecules.

• Responsible for the development, qualification and implementation of PK/PD assays using mass spectrometry in support of discovery and preclinical projects.
• Works with group leads or other discovery and regulated bioanalytical team members and project team members to accomplish goals.
• Participates in technology development and implementation by exploring new workflows, including automation, high throughput sample preparation and instrumentation in protein quantitation, to expand the group’s PK LCMS bioanalytical capabilities.
• Participate in all phases of mass spectrometry laboratory operations including technology evaluations, the development of sample preparation and separation methods, data analysis, interpretation, reporting and follow up discussions with the project teams on utilizing the data in appropriate decision making.
• Ensure all tasks and responsibilities are carried out according to scientific and ethical standards e.g. responsible for electronic notebook record keeping; QC and peer review of data and reports.

• Required:
  
  MS with 4 to 6 years of relevant work experience, ideally mostly in industry (or BS/BA with 6 to 8 years of experience).
• Required:
  
  Expertise in development, characterization, and implementation of bioanalytical LCMS assays.
• Required:
  
  Experience in the operation and troubleshooting of LCMS instrumentation and associated operating/data analysis software including Skyline, Analyst, Sciex OS and Xcalibur.
• Required:
  
  Hands‑on experience of biological sample preparation procedures for quantitative LCMS assays on biotherapeutics.
• Required:
  
  Knowledge of writing scripts to set up methods for automated liquid handler system.
• Required:
  
  Knowledge of protein biochemistry of therapeutic antibodies, fusion proteins or ADCs.
• Preferred:
  Expertise in quantitative tissue bioanalysis and extraction methodologies of large molecules.
• Preferred:
  Expertise in biological sample preparation techniques (immunoaffinity, tryptic digestion, tissue processing, conjugation, etc) of various biofluids.
• Preferred:
  Ability to work both independently and as part of a team, multitasking multiple programs.
• Preferred:
  Experience working in a regulated bioanalytical laboratory and knowledge of GLP’s is a plus.
• Preferred:
  Knowledge to implement AI tools to facilitate data visualization, bioanalytical assay development and optimization.

• Bioanalytical LCMS assays and mass spectrometry operation and troubleshooting.
• Data analysis software including Skyline, Analyst, Sciex OS and Xcalibur.
• Biological sample preparation procedures for quantitative LCMS assays on biotherapeutics (immunoaffinity, tryptic digestion, tissue processing, conjugation, etc).
• Protein biochemistry related to therapeutic antibodies, fusion proteins or ADCs.
• Automation and high-throughput sample preparation; development of automated liquid handling methods.
• Electronic notebook record keeping; QC and peer review of data and reports.
• AI tools to facilitate data visualization and assay development.

• MS degree with 4–6 years of relevant work experience (preferred in industry); or BS/BA with 6–8 years of experience.

• Lab-based position based in Andover with occasional travel to Cambridge (Kendal Square) depending on project needs.