Position Title: Scientist I
Work Location: North Chicago, IL 60064
Assignment Duration: 06 Months
Work Arrangement: Onsite (location-based role in North Chicago, IL)
Position Summary:
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 & Experience:
- 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.
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