Job Description
100% ONSITE IN SOUTH SAN FRANCISCO CA
PAY : $54-$59 / hr
REQUIRED :
- BS / MS with 1 year of LC-MS (QQQ) experience or a fresh PhD with the right LC-MS experience if they are a good fit and seem motivated.
- Degree in chemistry, pharmacology or other related fields.
- Pharmaceutical industry setting with a focus on mass spectrometry.
- Prior industry experience in drug discovery / development is preferred. In-depth understanding of PK, TK and PK / PD studies and corresponding bioanalytical assays as well as in vitro characterization assays is highly desired.
- Hands-on experience with QQQ (SCIEX), qTOF (Agilent, Bruker, SCIEX) and / or Orbitrap (Thermo) mass spectrometers is highly desired.
- Hands-on experience with automated liquid handling systems is highly desired.
- Hands-on experience with oligonucleotide analysis is highly desired.
Job Description :
The Quantitative, Translational ADME Sciences (QTAS) department at Client is seeking a highly motivated scientist to join the Biologics bioanalysis, characterization, and proteomics group. The main function of this position is to develop and implement LC / MS (liquid chromatography / mass spectrometry)-based bioanalysis and in vitro characterization assays for Client biologics entities. The successful candidate will be experienced in the development, optimization and implementation of Client and routine LC / MS-based bioanalytical methods to support in vivo PK, TK, and PK / PD studies as well as in vitro stability characterization of therapeutic proteins, peptides, and oligonucleotides. The candidate will be responsible for sample preparation, method development, bioanalytical assay operations, data analysis, report generation, and data presentation.
Key tasks and responsibilities :
Operate and maintain LC / MS instruments to generate high-quality experimental data.Perform affinity purification of therapeutic proteins (including but not limited to monoclonal and bispecific antibodies, antibody drug conjugates, antibody-siRNA conjugates, and fusion proteins) from biological matrices.Analyze data and maintain detailed, accurate and comprehensive study documentation in electronic laboratory notebooks.Facilitate assay optimization and implementation to ensure laboratory capacity and data quality.Communicate data interpretation internally and externally.