Sign up to see how you match
Apply on company site ↗
Pamposhun can't apply to this company's system yet, so apply on their site.
The Senior Director, US Evidence – Respiratory & Immunology (Real-World Evidence) is a strategic leadership role within US Medical, responsible for shaping and delivering the Real-World Evidence (RWE) strategy for the R&I portfolio. Reporting to the Executive Director, US Evidence, this leader directs a team of RWE Directors aligned to R&I, designing and executing research studies that demonstrates product value, informs medical strategy, and addresses critical evidence gaps across the portfolio.
The role partners closely with the Senior Director, US Evidence – Implementation Science (Team Lead) to ensure RWE outputs translate into practice-changing interventions through coordinated IS deployment. The Senior Director also champions the responsible, problem-led adoption of AI-enabled technologies to accelerate RWE workflows and improve methodological rigor.
The Senior Director will build and retain a diverse, inclusive, and high-performing RWE team, providing mentorship and career development for Directors. The role requires high emotional intelligence and the ability to influence without authority in a complex matrix environment, with explicit accountability for breaking silos between RWE and Implementation Science.
Accountabilities:
•
Lead the development and execution of the RWE component of US Evidence Plans for the R&I therapeutic area across the product lifecycle from pre-launch to maturity.
•
Partner with the Global BPM R&I Evidence team to align US evidence priorities with the global evidence strategy, ensure coherence in data sources and methodologies across regions, and co-develop assets where mutual leverage is possible.
•
Champion representativeness and health equity in study design and data selection, ensuring real-world evidence reflects the patient populations we serve.
•
Direct rigorous observational studies, retrospective database analyses, target trial emulations, prospective registries, and pragmatic effectiveness studies in R&I populations.
•
Build, mentor, and retain a diverse, high-performing team of RWE Directors; provide career development pathways and ensure psychological safety.
•
Guide the generation of economic and clinical evidence supporting value propositions for payers, ACOs, IDNs, and policy makers, with explicit alignment to US reimbursement strategies and quality measure environments.
•
Partner with the Global HEPE (Health Economics & Payer Evidence) team to align US RWE outputs with HTA submissions, economic models, and value dossiers; ensure US evidence needs are reflected in global development plans.
•
Partner with the Senior Director, US Evidence – Cardiovascular, Renal & Metabolism (RWE) to chart new directions for the US Evidence organization, align RWE strategy and methods across TAs, and co-shape the function's strategic agenda.
•
Partner with the Senior Director, US Evidence – Implementation Science (Team Lead) to ensure RWE outputs catalyze IS-led practice change interventions; serve as the RWE point of accountability for R&I evidence plans and co-own the evidence-to-practice translation cycle.
•
Cultivate and manage strategic partnerships with academic consortia, real-world data vendors, learning health systems, patient advocacy organizations, and respiratory and immunology registries and quality-measure bodies (e.g., GOLD, GINA, CHEST, ACR, NCQA, PQA).
•
Partner with Field Medical leadership and Clinical Account Directors to translate RWE outputs into actionable insights for MSL and CAD engagement with health systems, IDNs, payers, and population health stakeholders.
•
Oversee the facilitation of Scientific Narrative development, led by Evidence Directors, to inform the integrated messaging approach across peer-reviewed publications, congress presentations, payer dossiers, and field team resources.
•
Change Management. Lead the change management strategy for integrating AI/ML tools into evidence workflows, ensuring adoption is problem-led (not technology-led), grounded in validated methodologies, and governed by human-in-the-loop oversight.
•
Practical Use Cases. Identify and operationalize practical AI use cases accelerating systematic literature reviews via NLP, automating data quality checks, enhancing signal detection in real-world datasets to increase speed and quality.
•
Capability Building. Foster a culture of digital literacy across the team, providing training and resources to upskill team members on the evaluation, governance, and interpretation of AI-derived evidence.
•
Serve as the primary RWE lead for the R&I Therapeutic Area, collaborating with Medical Directors, Field Medical, Global HEPE, Market Access, Biostatistics, Safety, Regulatory, Patient Advocacy, and Commercial Insights counterparts.
•
Champion advanced methodologies (e.g., causal inference, comparative effectiveness, target trial emulation) and ensure adherence to data privacy (HIPAA), GCP, and internal SOPs.
•
Manage the R&I RWE budget, allocate resources across the portfolio, and oversee vendor performance to ensure delivery on time and within scope.
Essential Skills:
•
Education. Advanced degree (PhD, PharmD, MD, or relevant Master's) in Health Economics, Epidemiology, Outcomes Research, Health Services Research, Public Health, or a related field.
•
Experience. 10+ years of relevant experience in the pharmaceutical industry, managed care, consulting, or academia, with a focus on RWE, HEPE, or HEOR.
•
Leadership. Proven track record of leading and developing high-performing teams, including direct management of Director-level talent.
•
Methodological Expertise. Deep proficiency in observational study design, real-world data sources (claims, EMR, registries, linked data), and causal inference methods.
•
US Healthcare Knowledge. Comprehensive understanding of the US healthcare landscape, including quality measures, payer environments, and guideline development processes.
•
AI Fluency. Able to evaluate model validity, explainability, and bi
Skills:
mentorship
career development
strategic partnerships
change management
ai/ml
nlp
data quality
causal inference
data privacy
gcp