Oncology Pathologist

Role overview

Oncology Pathologist at CapeStart

We are looking for Oncology Pathologist who specializes in diagnosing and characterizing cancer by examining tissue samples, cells, and related laboratory findings.

Required qualifications

• Minimum qualification: MBBS with 5+ years of experience

Employment details

• Location: Nagercoil [Tamil Nadu] [India], Chennai [Tamil Nadu] [India], Bangalore [Karnataka] [India], Trivandrum [Keralam] [India], Hyderabad [Telangana] [India]

Additional role details

• The role supports accurate cancer diagnosis, treatment planning, clinical research, and, where applicable, digital pathology and AI model development. 1.
• Cancer Diagnosis Examine tissue biopsies, surgical specimens, and cytology samples to identify malignant, benign, and precancerous conditions. 2.
• Tumor Classification Determine tumor type, histological subtype, grade, and relevant pathological stage based on available evidence. 3.
• Histopathological Assessment Evaluate cellular morphology, tissue architecture, tumor differentiation, necrosis, invasion, and other relevant pathological features. 4.
• Biomarker Analysis Interpret immunohistochemistry (IHC), molecular pathology, and other biomarker results relevant to diagnosis and treatment selection. 5.
• Pathology Reporting Prepare accurate, standardized diagnostic reports and communicate clinically significant findings to treating physicians. 6.
• Multidisciplinary Collaboration Work with oncologists, radiologists, surgeons, and other specialists during multidisciplinary tumor board discussions. 7.
• Quality Assurance Ensure diagnostic accuracy, consistency, specimen integrity, and compliance with applicable laboratory standards and protocols. 8.
• Clinical Research Support Support oncology clinical trials, translational research, tissue-based studies, and pathology endpoint assessment. 9.
• Digital Pathology Review whole-slide images (WSIs), assess digital tissue images, and perform or validate annotations when required by the project. 10.
• AI and Model Validation Provide expert-reviewed annotations, establish reference standards, evaluate model predictions, and identify errors in AI-generated pathology outputs. 11.
• Data Documentation Maintain traceable records of diagnostic interpretations, annotation decisions, discrepancies, and quality-control findings. 12.
• Continuing Professional Development Keep up to date with evolving cancer classifications, diagnostic guidelines, biomarkers, and pathology technologies.