About the Role As Specialty Care, Inflammation maintain KSI reporting in agreed scientifically relevant areas.
- Support precision medicine and diagnostic strategies by enabling patient identification, optimising diagnostic pathways, and collaborating with relevant diagnostic and clinical stakeholders.
2. Scientific communication leverage AI-supported capture tools for real-time synthesis and cross-team pattern identification.
- Disseminate key scientific information through appropriate channels — ensuring accuracy, balance, timelines, and the non-promotional standard — while tailoring communication to the audience through compelling storytelling across stakeholder groups and cultures, including diverse interlocutors in AI-augmented clinical environments.
Speak publicly, internally and externally, to present product and therapeutic-area data at medical education events, congresses, and professional society meetings.
- Participate in medical education events and scientific congresses, including hybrid and digital engagement formats; design fewer but higher-quality face-to-face interactions, supplemented by AI-augmented digital engagement for the wider community.
- Support pipeline advancement including protocol feasibility, site identification, investigator understanding of new scientific value proposition, and recruitment activity; follow ISR projects through to publication where applicable.
Take ownership of local RWE generation including AI-enabled trial design and EHR-based feasibility analysis.
3. Cross-functional Collaboration - Share compliantly aggregated stakeholder, competitor, and patient insights internally to inform medical strategy and identify collaboration opportunities.
- Work closely and compliantly with commercial, access and value,



and regulatory colleagues — providing medical input and scientific support and training as appropriate to local market model.
4. Compliance integrate AI-driven HCP segmentation, patient pathway mapping, and predictive analytics to replace static approaches with dynamic, evidence-based prioritisation.
- Contribute to product lifecycle management; understand and implement the global and regional data generation strategy and integrated evidence plan.
Identify opportunities for local RWE partnerships with institutions and studies where data gaps exist; apply AI and advanced analytics to interrogate real-world data in partnership with data-science colleagues.
6. Stakeholder Leadership - Act as the primary scientific point of contact for defined stakeholders — including professional societies, national advisors, national formulary contributors, national AI regulatory bodies, HealthTech companies, digital health agencies, and data scientists in academic medical centres — developing and sustaining relationships through multiple channels to ensure consistent, compliant scientific engagement.
- Lead the scientific and medical content of medical education events in partnership with external stakeholders, and contribute to country-level strategy and operating plans.
- Incorporate structured RWE generation through programmatic partnerships with academic networks and HealthTech vendors, ensuring all AI-enabled tools and digital health partnerships comply with applicable AI regulatory requirements from the outset.
7. Strategic willingness to adopt current tools as they mature.
- Fluent business and medical English.
- Preferred: Experience in autoimmune disease, including respiratory medicine.
- Preferred: Experience contributing to clinical trial feasibility, site engagement or launch preparation for new medicines.
Work Location Assignment: Hybrid At Pfizer we care about our colleagues' wellbeing and offer a range of great benefits for them, including: Paid parental leave Access to Health

📌 Specialty Care, Inflammation & Immunology, Medical Manager (Sydney)
🏢 Pfizer
📍 Sydney