Bench Scientist
Top 3 critical skills:
• Immunoanalytical
• Mass spectrometry
• Proteomics
Years of experience are required: 3-5 year
Minimum education experience required: BS/MS level education in biochemistry, biology or chemistry or related fields required; advanced degree may be a plus.
Job Description:
A rare position is available for a bioanalytical scientist to join a state-of-the-art protein mass spectrometry laboratory lab in ompany's Pharmacokinetics Dynamics and Metabolism department. The lab based role will focus on the development of a novel type of sensitive quantitative assay to characterize and quantify the effect of anti-drug antibodies against protein biotherapeutics in the context of unwanted immunogenicity. This position requires expertise in bioanalytical procedures including immunoanalytical workflows, solid background in protein biochemistry, and ideally expertise in triple quadrupole quantitative mass spectrometry. The candidate will participate in all phases of mass spec laboratory operations including the development of sample preparation methods, assay execution, instrument maintenance and data analysis/reporting. We are looking for a scientist passionate about learning and quickly applying new skills to the project needs.
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 nanoflow liquid chromatography and nanospray triple quadrupole mass spectrometry instrumentation.
• Support analysis of quantitative LC-MS/MS data using relevant bioinformatics and quantitation software.
Qualifications, Technical Skills and Experience:
• BS/MS level education in biochemistry, biology or chemistry or related fields required; advanced degree may be a plus.
• Industry experience in biopharma preferred.
• Expertise in the operation and maintenance of mass spectrometers, ideally with 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.
Additional Skills:
• Industry experience in biopharma preferred.
• Expertise in the operation and maintenance of mass spectrometers, ideally with 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.
Qualifications, Technical Skills and Experience:
•
BS/MS level education in biochemistry, biology or chemistry
or related fields required; advanced degree may be a plus.
• Industry experience in biopharma preferred.
• Expertise in the operation and maintenance of mass spectrometers, ideally with 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.
Additional Skills:
• Industry experience in biopharma preferred.
• Expertise in the operation and maintenance of mass spectrometers, ideally with 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.