rmachine learningsascausal inferenceoncologyepidemiologyheorreal world evidence
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У роли чёткая зона ответственности на руководящем уровне и серьёзная научная задача, связанная с платформой данных Company hidden; высокие требования к опыту и онкологии сужают круг специалистов, которым она подойдёт.
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Текст:
Hirify AI/Оригинал
TL;DR
Associate Director, Outcomes Research (AI): Leading retrospective outcomes research and novel epidemiological methods for biopharma partners using multimodal real-world, clinical, and genomic data with an accent on oncology, causal inference, and external control arms. Focus on designing regulatory-grade studies, translating complex evidence into client strategies, publishing scientific work, and productizing scalable methods across data science, biostatistics, and product teams.
Location: Remote - USA
U.S. Pay Range: $150,000 - $200,000
Company
hirify.global connects real-world evidence and multimodal data to deliver actionable insights for clinical care and drug development.
What you will do
Lead end-to-end retrospective database analyses and architect study protocols aligned with rigorous HEOR/RWE standards.
Advise biopharma clients on first-in-kind study designs and identify novel methodological solutions for complex problems such as rare disease characterization and biomarker validation.
Develop and validate methods involving external control arms, causal inference in high-dimensional data, and longitudinal clinical and molecular/genomic data.
Lead scientific dissemination through peer-reviewed manuscripts, abstracts, and presentations at conferences including ISPOR, ISPE, and ASCO.
Partner with Data Science, Biostatistics, Product, Key Account Directors, and Business Development to scale successful methods across the Tempus ecosystem.
Manage a small team of outcomes research scientists, ensuring regulatory and ethical quality under standards such as GEP and HIPAA.
Requirements
PhD preferred, PharmD, or Master's degree in Epidemiology, Biostatistics, Health Economics, or a related quantitative field.
7+ years of HEOR/RWE experience, including at least 3 years in a leadership capacity.
Deep expertise in oncology is required.
Proven experience developing or implementing advanced analytical methods, including target trial emulation, propensity score applications in complex cohorts, causal inference, or machine learning-augmented epidemiology.
Advanced skills in R or SAS.
Essential experience working with messy real-world data such as EHR, claims, and/or genomic data.
Ability to simplify complex methodological challenges into clear strategic roadmaps for biopharma executives.
Demonstrated experience managing junior scientists and leading cross-functional squads in a fast-paced, high-growth environment.
Culture & Benefits
Full-time remote work within the USA.
High-visibility, client-facing work within the Data Business.
Benefits may include incentive compensation, restricted stock units, medical coverage, and other benefits depending on the position.
Equal opportunity employment without discrimination based on protected characteristics.
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