Description
A position is available in the Pharmacokinetics Dynamics & Metabolism group (PDM) for a skilled bioanalytical scientist to join a state-of-the-art mass spectrometry laboratory with deep expertise in protein quantitation. The lab based role entails the development of ultra-sensitive quantitative immunoaffinity LC-MS/MS assays for proteins biomarkers in urine and kidney tissue from preclinical species allowing back-translation of clinical findings in kidney disease patients. The candidate will participate in all phases of mass spec laboratory operations including the development of sample preparation and separation methods, assay execution, instrument maintenance, data analysis and reporting.Responsibilities:
Apply existing protein quantitation workflows using bead and column based immunoaffinity enrichment including the use of liquid handling robotics. Run bioanalytical assays under minimal supervision; initiative in method development is expected. Independent daily operation, calibration, maintenance, and troubleshooting of multi-dimensional nanoliquid chromatography and nanospray triple quadrupole mass spectrometry instrumentation. Support analysis of quantitative LC-MS/MS data using relevant bioinformatics and quantitation software.
SKILLS:
Qualifications:
BS/MS level education in biochemistry, biology or chemistry or related fields required; advanced degree may be a plus. Industry experience in biopharma preferred. Must have protein bioanalysis experience or immunoanalytical experience. Strong bioanalytical expertise, solid background in protein biochemistry, proven expertise in immunoanalytical procedures and triple quadrupole quantitative mass spectrometry. Expertise in the operation and maintenance of mass spectrometers. Experience with basic and complex quantitative protein LC-MS/MS assays. Track record of method development skills particularly with novel and complex methods applied to bioanalytical questions. Work well both independently and as part of a team. Collaborative skills and effective partnering skills in a Matrix-environment. Strong data organization and analysis skills. Strong communication skills.