Nanobiophotonics Research Lab Assistant

We are looking for a full-time candidate to work within our Nano-bio-photonics Lab. The opportunity will involve Microfluidic-based targeted detection of cancer biomarkers based on the LSPR-based substrate biosensor using SERS and NIR-FT spectroscopy and bioimaging.

• Execute laboratory testing according to standard procedures, conducting experiments under defined conditions to verify/reject various types of hypotheses using refined scientific methods.
• Use lab equipment and software such as Ocean View and spectrometers.
• To statistically analyze the results of the experiments and prepare a data bank using the software.
• Build, model adapters, brackets, and other experimental objects.
• Write a full report at the end of each stage.
• Assist with preparing manuscripts for submission to peer review publications/journals.
• Liaising with industry collaborators.
• Assist with research proposals and preparation of grant applications.

• To hold a B.Sc. degree in Biochemistry, Nanotechnology Engineering and Biological Sciences.
• Minimum GPA of 2.75 or equivalent.
• Eligible to work in Canada.
• Must be available full-time to work on site.
• Academic or research experience in the fields of synthesis of nanomaterials biochemistry.
• Familiarity and experience with antibodies (e.g. HER-II, CA 15-3).
• Familiarity and experience with several of microfluidic systems, cell culture, immunoassay, conjugation of Ab, UV-Vis, FTIR, fluorescence, and Raman spectroscopy, and fluorescence microscopy.
• Familiarity with computer programs (e.g. Python, MATLAB) and algorithms.
• Conscientious, independent worker willing to learn and develop new skills.
• Meticulous attention to detail.
• Excellent written and oral communication skills in English.

• Assist with general laboratory biosafety and maintenance, including inventories, equipment repair, and ordering supplies.
• Research and preparation of required chemicals and equipment.
• Immobilization of nanostructures such as gold on substrate.
• Functionalization and conjugation of nanostructure-antibody (NS-Ab) on substrate.
• Characterization of the substrate using reflectance FTIR, Raman and fluorescence spectroscopy.
• Optical detection of breast cancer blood serum biomarker (BCS).
• Programming and coding using Python MATLAB, Lab View, etc.
• Data analysis using statistical software such as PCA, LDA, PLS, ANOVA, and similar programs.