Specialty Care, Inflammation & Immunology, Medical Manager Pfizer Purpose: Breakthroughs that change patients' lives | Vision 2030: Become the most valuable company to patients, colleagues, and shareholders International Medical Mission: Supportive to our colleagues and trusted partners in the technological transformation of international healthcare ecosystems, we bring pioneering science to patients, through equitable end-to-end impact.
Why This Role
We are looking for medical scientists with an externally-focused mindset ready to be partners in the deepest and fastest transformation, in a generation, of the healthcare ecosystem driven by technology and AI, by bringing deep therapeutic expertise and the credibility to engage as trusted peers to clinicians, payers, policy-makers and tech enterprises and generating value and impact to systems already augmented by AI from insight generation to evidence strategy to education. AI is reshaping how clinicians find evidence, how patients navigate care, and how decisions get made. If you are passionate about not just using these tools, but governing them maintaining colleagues, ethics and humanity at the centre: to ensure that technology amplifies scientific truth, not just speed and translates scientific breakthrough into better and more equitable patients outcome at an unprecedented level, Pfizer medical international is the place where this becomes reality.
About the Role
As Specialty Care, Inflammation & Immunology Medical Manager you will lead Pfizer's I&I; portfolio in Australia and Current Zealand. Success means being a trusted scientific partner to a broader group of stakeholders in the healthcare ecosystem — bringing medical impact to patients in an AI-augmented model (generating insights, shaping clinical practice,
and advancing patient outcomes) through direct external engagement. You will also be accountable for AI enabled office-based strategic and medical leadership. You will shape the medical plan, lead evidence generation strategy, and act as the primary scientific point of contact for some key national stakeholders. A minimum of 50% of MAS time must remain externally focused. You will report to the Oncology & Specialty Care Medical Lead, ANZ.
Responsibilities
- External Engagement & Stakeholder Management – Deep understanding of the AI- and technology -driven evolution of the local healthcare ecosystem by being proactive partner in the dialogue around AI adoption in clinical practice, HTA evolution incorporating RWE, and the regulatory landscape governing AI in healthcare.
- Build and sustain peer-to-peer relationships with HCPs, KOLs, patient advocacy groups, medical societies, payers, regulators, HealthTech companies, digital health agencies, and AI regulatory bodies relevant to the changing ecosystem
- Contribute to a deeper understanding of patient journeys and unmet needs through compliant engagement with PAGs and other relevant stakeholders, helping inform medical priorities and strategic decision-making.
- Implement the local medical action plan in alignment with therapeutic area strategy.
- Leverage digital and AI-enabled channels to personalise and scale scientific engagement, while preserving the integrity of peer-to-peer interaction and the non-promotional standard in all scientific exchange.
- Use metrics to assess and iteratively improve the quality and impact of engagements; 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.
- Scientific communication & Insight Generation – Lead scientific exchange with HCPs and relevant stakeholders as a credible peer — shifting from information delivery toward interpretation, contextualisation, and critical validation. Be equipped to appraise AI-generated evidence, challenge or confirm AI-derived conclusions, and contextualise findings within local clinical practice and HTA frameworks.
- Use AI-assisted tools to structure, code, and synthesise medical insights at scale, ensuring traceability and human validation of all conclusions.
- Generate, document, synthesise, and compliantly share actionable insights from external engagements and scientific exchange; 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
📌 Specialty Care, Inflammation (Sydney)
🏢 Pfizer
📍 Sydney