Diagnostic Science Liaison- Kolkata

Job Title:

Position Summary

Diagnostic Science Liaison (DSL)

Key Responsibilities

1. Strategic Stakeholder Engagement Collaboration

• Identify and engage key external stakeholders (e.g., pathologists, geneticists, laboratory physicians, oncologists, surgeons) to understand regional diagnostic ecosystems.
• Collaborate with internal cross-functional teams (medical, regulatory, market access, and commercial) to align diagnostic strategies.
• Co-create diagnostic pathways that streamline testing within clinical decision-making processes.
• Ensure accurate, compliant communication of scientific and diagnostic insights between external partners and internal teams.

2. Data-Driven Field Support Test Optimization

• Lead diagnostic field activities in priority accounts with a focus on data-driven decision support.
• Provide insights on diagnostic testing patterns, turnaround times, barriers to access, and opportunities for optimization.
• Adhere strictly to data protection and privacy regulations (e.g., GDPR, HIPAA) while handling patient or site-level data.

3. Scientific Education Internal Capability Building

• Conduct scientific training for internal stakeholders covering diagnostic principles, biomarker science, and workflows.
• Develop educational tools and materials to communicate diagnostic concepts and test interpretation.
• Support and participate in external scientific programs for clinicians and laboratory professionals.

4. Diagnostic Access External Partnerships

• Build and maintain partnerships with diagnostic companies and laboratory networks.
• Facilitate discussions on testing logistics, implementation models, and quality standards.
• Drive initiatives to improve awareness, access, and adoption of companion and complementary diagnostics.

5. Precision Medicine Advocacy Clinical Integration

• Advocate for early and accurate biomarker testing to enable precision treatment approaches.
• Collaborate with clinicians to integrate diagnostic insights into treatment planning and clinical workflows.
• Promote adoption of precision medicine by linking diagnostics to patient outcomes and healthcare value.