Research Investigator – Digital Pathology / Image Analysis
Location: Bangalore, Karnataka, India
Company: Syngene International
Department: Discovery Biology & Translational Sciences – Digital Pathology / Image Analysis
Employment Type: Full-Time
Role Summary
The Research Investigator – Digital Pathology is responsible for developing, implementing, and optimizing computational image analysis solutions for digital pathology applications. The role involves designing image analysis algorithms, developing deep learning models, analyzing histopathology data, and generating biologically meaningful insights to support translational research and drug discovery programs.
This position works closely with pathologists, translational scientists, bioinformaticians, and multidisciplinary research teams to support biomarker discovery, disease characterization, and preclinical research through advanced image analytics and artificial intelligence.
Key Responsibilities
Digital Pathology & Image Analysis
Develop and optimize image analysis algorithms for digital pathology applications.
Perform quantification of:
Immunohistochemistry (IHC) Staining
Biomarker Expression
Tumor vs Stroma Classification
Cellular Feature Extraction
Design robust image analysis workflows for pathology datasets.
Artificial Intelligence & Deep Learning
Develop and deploy:
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Generative Adversarial Networks (GAN)
Transformer-Based Models
Support:
Image Classification
Object Detection
Tissue Segmentation
Feature Extraction
Evaluate model performance and optimize prediction accuracy.
Programming & Computational Analysis
Develop analytical workflows using:
Python
R
MATLAB
Support image processing and data analysis pipelines.
Automate computational workflows for large-scale pathology datasets.
Statistical Analysis & Data Visualization
Perform statistical analyses on image-derived datasets.
Generate insights using:
Power BI
Python
R
MATLAB
Create visual reports and dashboards for scientific interpretation.
Documentation & Reporting
Document:
Algorithms
Methodologies
Validation Results
Scientific Findings
Ensure compliance with internal quality and documentation standards.
Prepare technical reports and project summaries.
Cross-Functional Collaboration
Collaborate with:
Pathologists
Translational Scientists
Bioinformaticians
Data Scientists
Research Teams
Participate in scientific discussions and project reviews.
Support multidisciplinary research initiatives.
Process Improvement
Improve image analysis workflows and best practices.
Contribute to automation and innovation initiatives.
Support continuous improvement of digital pathology platforms.
Required Qualifications
Education
PhD or Master’s Degree in:
Computer Science
Bioinformatics
Biomedical Engineering
Electronics Engineering
Biological Sciences
Computational Biology
Artificial Intelligence
Data Science
Related Discipline
Experience
Required Experience
PhD: 1–2 Years of Relevant Experience
OR
M.Tech / Master's Degree: 3–5 Years of Relevant Experience
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Queensland |Melbourne :
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