Lead statistical design and analysis for real-world evidence studies using large healthcare datasets to support regulatory submissions, reimbursement, and safety signals.
Responsibilities
Lead statistical design and analysis for real-world evidence studies using large healthcare datasets.
Translate stakeholder questions into study protocols and statistical analysis plans that address bias and limitations.
Manage study execution, including timelines, budgets, quality control.
Develop and review analytic code ensuring reproducibility and quality using programming tools as R or SAS.
Communicate results clearly to internal teams and external audiences, supporting publications and dossiers.
Lead the development and implementation of AI-driven evidence strategies for Lung, Head & Neck therapeutic areas, translating data into actionable insights for portfolio decisions.
Compensation
The annual base pay for this position ranges from $186,014.40 - 279,021.60 Annual USD.
Responsibilities
Define and evolve the Clinical Intelligence & Evidence strategy for Lung, Head & Neck
Lead Denali's global HEOR strategy for ex-US markets, generating and applying health economic and outcomes research evidence to secure timely and sustainable patient access.
Compensation
Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Denali offers a competitive total rewards package, which includes a pension, medical stipend, equity and a broad range of other benefits.
Responsibilities
Define and lead the global HEOR strategy for ex-US markets, ensuring alignment with market access, regulatory, and launch objectives.
Lead development of the core global health economic model and cost-effectiveness analysis, including model design, economic methodology, validation, and technical documentation.
Partner with International Market access to develop and maintain the global value dossier and its underlying evidence base, including systematic literature reviews and indirect treatment comparisons.
Lead the HEOR deliverables supporting the EU Joint Clinical Assessment, including PICO-driven evidence planning and comparative effectiveness analyses, in partnership with Regulatory, Biometrics, and Clinical Development.
Serve as the global HEOR partner to International Market Access, providing the global model, methods guidance, and scientific review that support country-specific adaptation and country-level JCA and HTA deliverables.
Requirements
PhD in health economics, epidemiology, health services research, or another research-focused public health discipline
Associate Director, Oncology Clinical Intelligence and Real World Evidence
Lead evidence generation and analytics for oncology and hematology, translating complex data into decision-ready insights to influence Phase 3 investments, trial design, and patient access.
Compensation
The annual base pay for this position ranges from $144,648.80 - $184,000 USD. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program.
Responsibilities
Prioritize evidence gaps with stakeholders and global product teams
Apply machine learning and causal inference to deliver robust answers on patient stratification, external control arm construction, prognostic risk adjustment, and treatment effect heterogeneity
Deliver and validate multimodal patient-level models integrating clinical, genomic, imaging, and real-world data
Turn internal and competitor trial data into clear insights on standard of care, patient pathways, benchmarking, and unmet need
Enable platform and tooling teams to bring new tools, agents, and experimental approaches into evidence generation
Requirements
PhD in a quantitative discipline such as epidemiology, biostatistics, computational biology, machine learning, health data science, or a related field
Nice to have: Domain expertise in hematology or oncology
Nice to have: Experience deploying analytics into clinical trial operations, submissions, or payer engagements
Lead real‑world evidence studies for Abbott’s vascular portfolio, designing and executing observational research, analyzing data, and communicating findings to regulatory and clinical stakeholders.
Compensation
The base pay for this position is $114,000.00 – $228,000.00
Responsibilities
Define and execute long‑term RWE strategies
Lead design and execution of RWE, health economics, and digital health studies
Support data science initiatives with machine learning and predictive modeling
Lead analytic strategy and perform programming in SQL, R, SAS, Python