Oncologist

NoorNext; Hyderabad; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

NoorNext is seeking an Oncologist to provide expert input in developing AI solutions for cancer detection and staging, curate oncological datasets, validate AI predictions, and align with oncology workflows.

The role involves reviewing AI-assisted findings, validating cancer-related datasets, and advising on screening protocols and diagnostic pathways, with opportunities to support research publications and clinical trials.

Qualifications

• MD/DNB in Oncology is required.
• 3+ years of experience interpreting diagnostic imaging for cancer.
• Familiarity with early detection, screening pathways, and staging systems.

Responsibilities

• Review AI-assisted findings related to lung, bone, and soft-tissue malignancies.
• Validate datasets for cancer-related abnormalities.
• Provide expert interpretation for ambiguous or complex clinical images.
• Advise on screening protocols and diagnostic pathways.
• Support research publications and clinical trials.

Skills

Diagnostic imaging interpretation

Oncology knowledge

Clinical judgment

Education

MD/DNB in Oncology

Job description

Job Description The Oncologist will provide expert input in the development of AI solutions for cancer detection and staging. They will help curate oncological datasets, validate AI predictions, and ensure alignment with oncology workflows.

Job Description The Oncologist will provide expert input in the development of AI solutions for cancer detection and staging. They will help curate oncological datasets, validate AI predictions, and ensure alignment with oncology workflows.

Responsibilities

• Review AI-assisted findings related to lung, bone, and soft-tissue malignancies.
• Validate datasets for cancer-related abnormalities.
• Provide expert interpretation for ambiguous or complex clinical images.
• Advise on screening protocols and diagnostic pathways.
• Support research publications and clinical trials.

Requirements

• MD/DNB in Oncology.
• 3+ years of experience interpreting diagnostic imaging for cancer.
• Familiarity with early detection, screening pathways, and staging systems.