Associate Scientist – 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 Associate Scientist – Digital Pathology is responsible for developing, optimizing, and deploying image analysis and artificial intelligence-based solutions for digital pathology applications. The role involves quantitative analysis of histopathology images, development of deep learning models, image processing workflows, biomarker quantification, and generation of actionable insights from image-derived datasets.
This position collaborates closely with pathologists, translational scientists, bioinformaticians, and cross-functional research teams to support drug discovery, biomarker research, and translational science programs through advanced digital pathology and computational image analysis.
Key Responsibilities
Digital Pathology & Image Analysis
Design and develop image analysis algorithms for digital pathology applications.
Quantify:
IHC (Immunohistochemistry) Staining
Biomarker Expression
Tumor-Stroma Classification
Cellular Feature Extraction
Optimize image analysis workflows and automation pipelines.
Artificial Intelligence & Deep Learning
Develop and deploy:
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Generative Adversarial Networks (GAN)
Transformer-Based Deep Learning Models
Train and validate AI models for:
Object Detection
Tissue Segmentation
Image Classification
Feature Extraction
Evaluate model performance and limitations.
Programming & Computational Analysis
Develop analytical workflows using:
Python
R
MATLAB
Build automated image processing pipelines.
Support data extraction, transformation, and analysis.
Statistical Analysis & Data Visualization
Perform statistical analyses on image-derived datasets.
Generate visual insights using:
Power BI
Python
R
MATLAB
Support data-driven decision making and biomarker evaluation.
Documentation & Compliance
Document:
Algorithms
Methodologies
Analytical Approaches
Results and Findings
Ensure compliance with:
Internal Quality Standards
Research Documentation Requirements
Regulatory Expectations
Cross-Functional Collaboration
Work closely with:
Pathologists
Translational Scientists
Bioinformaticians
Research Teams
Image Analysts
Participate in project discussions and scientific reviews.
Support collaborative research initiatives.
Process Improvement & Innovation
Improve image analysis workflows and best practices.
Contribute to knowledge sharing and capability development.
Implement innovative AI and digital pathology solutions.
Required Qualifications
Education
PhD or Master’s Degree in:
Computer Science
Bioinformatics
Biomedical Engineering
Electronics Engineering
Biological Sciences
Computational Biology
Artificial Intelligence
Machine Learning
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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