Clinical Content Specialist (Oncology (NCCN Guidelines))

About the Role

We are looking for a highly motivated and detail-oriented oncology professional to join our clinical team in digitizing evidence-based oncology treatment pathways, primarily based on NCCN guidelines.

This role involves translating complex clinical guidelines into structured, logical, and interactive decision pathways that power next-generation AI-driven oncology clinical decision support systems.

Key Responsibilities

• Interpret and digitize oncology treatment guidelines (primarily NCCN) into structured clinical pathways
• Break down complex treatment protocols into step-by-step logical decision flows
• Ensure clinical accuracy and completeness of pathways across disease sites
• Map treatment regimens, staging, biomarkers, and therapy lines into structured formats
• Collaborate with product and engineering teams to implement clinical logic within the platform
• Continuously update pathways in line with guideline revisions and new evidence
• Validate and cross-check pathways to maintain high clinical and logical accuracy
• Support clinical discussions and provide insights on oncology workflows and protocols

Required Qualifications

• Medical background (MBBS / BDS / BHMS / BAMS / M.Pharm / PharmD / Life Sciences with oncology exposure)
• Prior experience working in an oncology department / cancer hospital / oncology practice
• Hands-on exposure to oncology treatment protocols and workflows
• Familiarity with NCCN guidelines (mandatory)

Required Skills

• Strong understanding of oncology treatment pathways and clinical decision-making
• High attention to detail and accuracy
• Ability to translate clinical knowledge into structured logic/workflows
• Strong analytical and problem-solving skills
• Ability to work independently as an individual contributor
• Good communication skills (written and verbal)
• Comfortable working in a fast-paced, evolving environment

Preferred Qualifications

• Experience in clinical research / tumor boards / oncology audits
• Exposure to clinical decision support systems (CDSS) or healthcare IT
• Familiarity with SNOMED CT / clinical terminologies / FHIR (good to have)
• Experience in guideline interpretation or protocol standardization

What We Offer

• Opportunity to work at the intersection of AI and Oncology
• Direct impact on building next-generation oncology decision support systems
• Flexible remote work environment
• Opportunity to work with a highly driven and innovative team

Ideal Candidate Profile

• Detail-obsessed clinician who enjoys structuring complex information
• Passionate about standardizing cancer care
• Comfortable working independently with high ownership
• Curious, proactive, and solution-oriented