Laboratory Manager (Senior Research Technologist)
Charles R. Drew UniversityAbout the role
Summary
The CDU Institute for Advanced Biomedical Research (IABR) is recruiting a skilled individual to provide advanced scientific and technical expertise in mass spectrometry–based proteomics to support and drive the laboratory’s research mission. This position combines hands-on work with scientific leadership, including experimental design, method development, training, and data interpretation. The incumbent will oversee the operation of state-of-the-art LC-MS/MS instrumentation, contribute to publication and external funding efforts, and serve as a core resource for proteomics expertise across research teams.
Essential Duties and Responsibilities:
Administrative
- Develops standard operating protocols and manages overall function for CDU research labs and Core labs.
- Implement a new laboratory management system (Agilent iLab) for all specialized equipment, see equipment list below.
Research & Experimental Design
- Design, plan, and independently conduct proteomics and mass spectrometry experiments, including protein/peptide preparation, quantitative proteomics (e.g., SILAC, TMT, iTRAQ), and targeted or discovery-based workflows.
- Develop and optimize new methodologies for protein/peptide separation, enrichment, and analysis.
- Collaborate with PIs and investigators to shape experimental design and align proteomic approaches with research objectives.
Instrument & Workflow Leadership
- Operate, maintain, and oversee mass spectrometry platforms (e.g., Orbitrap, timsTOF, Q-TOF, ion-trap) and associated LC systems.
- Lead the development and implementation of SOPs for proteomics workflows.
- Monitor system performance, conduct troubleshooting, and ensure rigorous quality control.
Scientific Contribution & Collaboration
- Analyze and interpret proteomics datasets, collaborating with bioinformatics teams to ensure robust data pipelines.
- Contribute to manuscripts, presentations, and grant proposals with high-level scientific input.
- Serve as an institutional resource for proteomics expertise, fostering cross-disciplinary collaborations.
Training & Mentorship
- Train and mentor junior scientists, technicians, students, and postdocs in proteomics methods and mass spectrometry operation.
- Provide guidance on study design, experimental troubleshooting, and data analysis strategies.
- Promote a collaborative, team-based research culture.
Laboratory Oversight
- Supervise daily proteomics operations, including scheduling of instrument time, reagent management, and vendor interactions.
- Ensure compliance with safety, biosafety, and chemical handling regulations.
- Implement a new laboratory management system (Agilent iLab) for all specialized equipment, see equipment list below.
Major Equipment will include:
- Next Generation Sequencing Core
- Illumina Nextseq 550
- Ion Torrent S5
- 10x Genomics Chromium IX
- BioRad digital PCR Instrument
- Mass Spectrometry and Proteomics Core
- Agilent 1260 Infinity II HPLC
- Agilent LCMS 6495B
- OpenSPR and benchtop NMR
- Exosome and MicroRNA Core
- Nanosight NS300
- Thermofisher WX90 Ultracentrifuge
- Flow Cytometry and Microscopy Core
- Attune NXT Flow Cytometry
- BD Melody Cell Sorter
- Muse Cell Analyzer
- Confocal Microscope Systems with Lasers-TCS SPEII
- Cytation 1 Live Imager
- Zeiss PALM Microbeam Lase Microdissection
Other Duties and Responsibilities:
- Develop a business model for Laboratory Research Operation
- Develop external user contacts for the core Services.
- Availability to work on weekends and evenings to complete time-sensitive projects.
- Oversee Laboratory staff, including research assistants and technicians.
- Work with CDU Facility management, security, and departments.
EDUCATION:
- PhD in Chemistry, Biochemistry, Proteomics, or a related field with 2+ years of postdoctoral or industry experience, OR
- Master’s degree with 5+ years of proteomics/mass spectrometry experience, OR
- Bachelor’s degree with 7+ years of advanced proteomics experience.
EXPERIENCE:
- Expertise in LC-MS/MS workflows for proteomics, including quantitative and label-free approaches.
- Proficiency with data analysis platforms (e.g., MaxQuant, Proteome Discoverer, Skyline, Spectronaut).
- Familiarity with metabolomics,
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