Target PR Range:

30-40/hr

• Depending on experience

Description:

The Quantitative, Translational, and ADME Sciences Department in North Chicago, IL is seeking a highly motivated team member to operate in an LCMS-based quantitative bioanalytical role to support research and development projects. The successful candidate will be in a fast-paced, dynamic environment with minimal supervision once trained. The candidate will be responsible for quantitative

LC-MS/MS

bioanalysis of synthetic molecules and peptides, data analysis and interpretation, and documentation.

Key Responsibilities:

• Perform quantitative

LC-MS/MS

of synthetic molecules and peptides from in-vitro and in-vivo biomatrices to support ADME bioassays and PK/PD studies.

• Operate and troubleshoot

LC-MS/MS

instrumentation and perform routine maintenance of

LC-MS/MS

equipment.

• Maintain excellent documentation of all work, including electronic lab notebooks, methods, and protocols.

Qualifications:

• Bachelor's degree in a scientific field (e.g., chemistry, biology, pharmacology, or related disciplines), with typically 0-3 years of experience, or a master's degree with no additional experience.
• Experience with quantitative bioanalysis of synthetic molecules and peptides.
• Hands-on experience with one or more current

LC-MS/MS

platforms (e.g., Sciex triple quadrupoles, Agilent HPLCs, Shimadzu HPLCs, PAL autosamplers, ADDA, LS-II) and software (e.g., Analyst, Discovery Quant, LeadScape, Sciex OS, Electronic Laboratory Notebook).

• Familiarity with automated sample preparation platforms.
• Familiarity with ADME, PK, PD, and bioassays.
• A good understanding of analytical methodologies used for synthetic molecules and peptide quantitation (acquisition, processing, and troubleshooting).
• Ability to work independently or under minimal supervision to conduct experiments, as well as interpret, document, and communicate results.
• Ability to balance generating high quality data within a standardized, streamlined, and high-throughput environment.
• Ability to work effectively with team members in a dynamic environment, self-motivate, multitask, meet frequent tight deadlines, and adapt to changing priorities.