Job Summary

Bangalore. The proposed project aims to develop and validate a proof-of-concept deep learning-based Artificial Intelligence (AI) model for the detection and classification of fungal hyphae in microscopic preparations of clinical specimens, including KOH-Calcofluor and biopsy specimens. Expert-annotated microscopic images will be used to train a U-Net-based deep learning model for multi-class segmentation. The model will be validated using independent datasets, and its performance will be compared with expert interpretation. The project will also develop a prototype smartphone-based application, KOH Buddy to provide bench-side decision support and facilitate standardized interpretation of fungal microscopy

No of Vacancy: Two

Responsibilities

- Processing clinical specimens for fungal culture and preparing, staining, and examining microscopic slides. Perform specialised tests such as molecular tests.
- Scanning slides using an automated slide scanner and acquiring high-quality microscopic images.
- Annotating and organizing images using designated image-analysis software.
- Should be able to work on softwares and other computer related devices such as tablets
- Performing image quality control and coordinating with IT/technical support for image processing, software-related issues, and troubleshooting.




- Collecting and maintaining relevant clinical and laboratory data.
- Maintaining study records, databases, and project documentation.
- Performing data entry and assisting with preliminary data analysis and interpretation.
- Assisting the Principal Investigator in preparation of reports, presentations, and research-related documentation.
- Monitoring and maintaining laboratory consumables and assisting with procurement and inventory management
- Assisting with project accounts, office work, correspondence, and other administrative activities related to the project.
- Ensuring proper documentation, confidentiality, and adherence to the approved study protocol and institutional requirements.

Eligibility Criteria

Preferred Qualifications: Post Graduate Degree in Microbiology/Life sciences, including the integrated PG degrees

Age Limit: 35 Years

Preferred Language: English

To Apply

To Apply: E-mail cover letter and curriculum vitae with 3 references (names and email addresses / phone numbers). Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Project Rsearch Scientist -I (Non Medical) (Bengaluru)
🏢 St Johns Research Institute Sjri
📍 Bengaluru