Biophotonics Engineer (Hyperspectral Imaging/IR Spectroscopy)
CT19 is working with a Paris‑based DeepTech that is building a multidisciplinary research team, bringing together expertise in biophotonics, computer vision, machine learning for biological data, and microbiology.
The project aims to develop a novel technology combining advanced optical imaging and artificial intelligence to improve the diagnosis of antibiotic‑resistant infections, focusing on capturing distinct optical signatures of bacterial samples and integrating these signals with computational models to identify resistance, persistence, and tolerance mechanisms in near real‑time.
Your Role
As the Biophotonics Scientist, you will lead the design, development, and optimization of advanced optical imaging systems for microbial characterization.
You will collaborate closely with microbiology and data science teams to generate high–dimensional optical datasets that can be integrated into machine learning pipelines for predictive diagnostics.
Main Responsibilities
- Design, build, and optimize biophotonic imaging platforms, including Hyperspectral imaging (UV–Vis–IR) for spectral fingerprinting of microbial samples
- Deep UV excitation for intrinsic fluorescence and molecular characterization
- Infrared (IR) spectroscopy for chemical composition analysis
- Raman spectroscopy for molecular vibration–based identification of resistance markers
- Develop and standardize data acquisition protocols to ensure reproducibility and high signal‑to‑noise ratios.
- Conduct proof‑of‑concept and translational experiments to demonstrate diagnostic potential.
- Contribute to scientific publications, intellectual property, and technical communications describing novel optical approaches for microbial diagnostics.
Technical Skills
- Advanced expertise in biophotonics, optical microscopy, and spectroscopy (hyperspectral, UV, IR, Raman).
- Experience with optical instrumentation design, alignment, and calibration.
- Knowledge of spectral data preprocessing, signal analysis, and multivariate analysis techniques.
- Familiarity with Python or MATLAB for data acquisition and analysis workflows.
- Strong understanding of optical physics and biological sample handling.