{"id":100163215,"date":"2026-10-12T15:19:00","date_gmt":"2026-10-12T12:19:00","guid":{"rendered":"https:\/\/europeanhealtheconomics.com\/?p=100163215"},"modified":"2026-10-22T02:00:35","modified_gmt":"2026-10-21T23:00:35","slug":"director-oncology-clinical-intelligence-rwe-strategy","status":"publish","type":"post","link":"https:\/\/europeanhealtheconomics.com\/fr\/north-america\/usa\/director-oncology-clinical-intelligence-rwe-strategy\/","title":{"rendered":"Director Oncology Clinical Intelligence &#038; RWE Strategy"},"content":{"rendered":"<p><strong>Cambridge, MA, US.<\/strong><\/p>\n<p>We&#8217;re building a connected, end-to-end\u00a0<strong>Enterprise AI<\/strong>\u00a0engine &#8211; uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain.\u00a0<strong>Success depends on being exceptional connectors<\/strong>:\u00a0you&#8217;ll\u00a0actively\u00a0leverage\u00a0existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities &#8211; and where the measure of success is adoption and scale, not just innovation &#8211; you&#8217;ll have the platform (and sponsorship) to make it real. \u202f\u00a0<\/p>\n<p><strong>Introduction to role:<\/strong><\/p>\n<p>Are you ready to turn complex, multimodal data into decisive actions that shape the future of\u00a0oncology? This role\u00a0leads\u00a0a connected evidence strategy spanning R&#038;D through patient care, where your decisions influence trials, filings, and access strategies that reach patients faster. You will help power an enterprise-scale AI and data engine by being an exceptional connector\u00a0leveraging\u00a0existing capabilities, scaling what works, and exporting breakthrough ideas across teams and geographies.<\/p>\n<p>Can you see yourself guiding senior stakeholders through complex trade-offs to deliver impact\u00a0at\u00a0scale? \u00a0You will own the end-to-end evidence agenda for\u00a0an\u00a0oncology\u00a0therapeutic area, aligning it to the highest-priority scientific, medical, and business needs across the lifecycle. By harnessing the PH3ID Intelligence Foundation and rich multimodal assets, you will translate signals into intelligence that advances portfolio investment decisions, strengthens regulatory packages, and sharpens commercial positioning.<\/p>\n<p>You will work at the interface of Translational Science, Clinical Development, and Market Access\u00a0leading without direct authority in a matrixed environment. Join a team dedicated to building AI-enabled evidence that persists and extends across use cases, helping a fast-growing therapeutic area set the pace for the portfolio.<\/p>\n<p><strong>Accountabilities:<\/strong><\/p>\n<p><strong>End-to-End Evidence Strategy<\/strong>: Own the\u00a0clinical intelligence and real-world evidence strategy from R&#038;D through patient care, building a clear roadmap tied to the most critical scientific, medical, and business priorities across development, regulatory, and market access.<\/p>\n<p><strong>Evidence Gap Prioritization:<\/strong>\u00a0Define and rank the evidence gaps that matter most, informing PH3ID, trial design, external control arm strategies, and subpopulation discovery to accelerate confident decisions.<\/p>\n<p><strong>Translational and Clinical Partnership:<\/strong>\u00a0Partner with Translational Science and Clinical Development to integrate genomics, imaging, digital endpoints, and pathology AI into strategies for patient stratification and biomarker-driven development.<\/p>\n<p><strong>AI-Enabled Hematology Methods:\u00a0<\/strong>Advance AI-driven approaches including tumor dynamics forecasting, prognostic risk adjustment, trial simulation, and transportability analyses to de-risk and\u00a0optimize\u00a0clinical programs.<\/p>\n<p><strong>Integrated Insight Generation:<\/strong>\u00a0Convert internal and competitor trial data, together with real-world data, into actionable insight on standard of care, patient journeys, unmet need, and competitive positioning that guides development and access strategies.<\/p>\n<p><strong>Stakeholder Influence and Alignment:<\/strong>\u00a0Influence Global Product Teams, matrix partners, and external data collaborators to ensure evidence outputs are both methodologically rigorous and strategically relevant.<\/p>\n<p><strong>Compounding Intelligence Foundation:\u00a0<\/strong>Build\u00a0an oncology therapeutic area\u00a0specific intelligence that persists and grows within the PH3ID Intelligence\u00a0Foundation\u00a0so evidence compounds across use cases rather than being rebuilt each time.<\/p>\n<p><strong>Immediate\u00a0Broader Impact:<\/strong>\u00a0Deliver early wins that inform ongoing trials and filings, then scale reusable capabilities and standards that elevate decision quality across the hematology portfolio.<\/p>\n<p><strong>Essential Skills\/Experience:<\/strong><\/p>\n<p><i>Leadership &#038; Influence<\/i><\/p>\n<ul>\n<li>\n<p>Track record\u00a0of translating complex analytical outputs into strategic recommendations that\u00a0advise\u00a0portfolio decisions.<\/p>\n<\/li>\n<li>\n<p>Experience working at the interface of Translational Science, Clinical Development, and Market Access functions, with the ability to distill technical complexity into clear narratives for diverse audiences.<\/p>\n<\/li>\n<li>\n<p>Demonstrated\u00a0ability to lead without authority, influencing senior collaborators and cross-functional teams in a matrixed environment.<\/p>\n<\/li>\n<\/ul>\n<p><i>Technical and Strategic Expertise<\/i><\/p>\n<ul>\n<li>\n<p>Expert command of oncology real-world data assets and their application to evidence generation.<\/p>\n<\/li>\n<li>\n<p>Proven\u00a0track record\u00a0to build end-to-end evidence strategies that address both clinical development needs (trial design, regulatory submissions) and market access needs (HTA requirements, payer value narratives).<\/p>\n<\/li>\n<li>\n<p>Strong foundation\u00a0in evidence generation methodologies, including observational study design, causal inference, comparative effectiveness research, and external control arms.<\/p>\n<\/li>\n<li>\n<p>Experience with regulatory submissions or HTA dossiers\u00a0leveraging\u00a0RWE.<\/p>\n<\/li>\n<li>\n<p>Solid understanding of multimodal modeling approaches, and how clinical, imaging, genomic, and real-world data can be integrated to build patient classifiers, prognostic models, and trial simulators.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Education and Experience<\/strong><\/p>\n<ul>\n<li>\n<p>Advanced degree (PhD, PharmD, MD, or equivalent) in epidemiology, biostatistics, health economics, clinical science, or a quantitative discipline relevant to\u00a0evidence\u00a0generation.<\/p>\n<\/li>\n<li>\n<p>7+ years of experience in evidence generation, RWE, health outcomes research, or a related function within pharma, biotech, or a leading academic or consultancy environment.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Desirable Skills\/Experience:<\/strong><\/p>\n<ul>\n<li>\n<p>Familiarity\u00a0with\u00a0AI\/ML\u00a0applications\u00a0in RWE,\u00a0including\u00a0predictive\u00a0modeling\u00a0and\u00a0automated\u00a0evidence\u00a0synthesis.<\/p>\n<\/li>\n<li>\n<p>Prior\u00a0experience\u00a0shaping\u00a0or\u00a0contributing\u00a0to AI-enabled\u00a0evidence\u00a0platforms.<\/p>\n<\/li>\n<\/ul>\n<p><strong>In-Office\u00a0Working\u00a0Requirements\u00a0<\/strong><\/p>\n<p>When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at\u00a0pace\u00a0and challenge perceptions.\u00a0That&#8217;s\u00a0why we work, on average, a minimum of three days per week from the office. But that\u00a0doesn&#8217;t\u00a0mean\u00a0we&#8217;re\u00a0not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.\u00a0\u00a0The annual base pay for this position ranges from $ 186.014,40 to $279.021,60. Our positions offer eligibility for various incentives\u2014an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage\u00a0in accordance with\u00a0the terms of the applicable plans. \u202f\u00a0<\/p>\n<p>Ready to make a difference?\u00a0Apply\u00a0now!\u202f\u00a0<\/p>\n<p>This job is posted by AstraZeneca.<\/p>\n<p><a class=\"button\" href=\"https:\/\/careers.astrazeneca.com\/job\/cambridge\/director-oncology-clinical-intelligence-and-rwe-strategy\/7684\/99662604976\" target=\"_blank\" rel=\"noopener\" aria-label=\"Apply for the Director Oncology Clinical Intelligence &#038; RWE Strategy job at AstraZeneca\" title=\"Apply for the Director Oncology Clinical Intelligence &#038; RWE Strategy job at AstraZeneca\">DEMANDER UN TRAVAIL<\/a><\/p>\n<p><em>This link brings you to the website of AstraZeneca.<\/em><\/p>\n<p><strong>Veuillez indiquer que vous avez trouv\u00e9 le poste via EuropeanHealthEconomics.com.<\/strong> Merci et bonne chance !<\/p>\n<p><script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"JobPosting\",\n    \"title\": \"Director Oncology Clinical Intelligence & RWE Strategy\",\n    \"description\": \"We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. Introduction to role: Are you ready to turn complex, multimodal data into decisive actions that shape the future of oncology? This role leads a connected evidence strategy spanning R&D through patient care, where your decisions influence trials, filings, and access strategies that reach patients faster. You will help power an enterprise-scale AI and data engine by being an exceptional connector leveraging existing capabilities, scaling what works, and exporting breakthrough ideas across teams and geographies. Can you see yourself guiding senior stakeholders through complex trade-offs to deliver impact at scale? You will own the end-to-end evidence agenda for an oncology therapeutic area, aligning it to the highest-priority scientific, medical, and business needs across the lifecycle. By harnessing the PH3ID Intelligence Foundation and rich multimodal assets, you will translate signals into intelligence that advances portfolio investment decisions, strengthens regulatory packages, and sharpens commercial positioning. You will work at the interface of Translational Science, Clinical Development, and Market Access leading without direct authority in a matrixed environment. Join a team dedicated to building AI-enabled evidence that persists and extends across use cases, helping a fast-growing therapeutic area set the pace for the portfolio. Accountabilities: End-to-End Evidence Strategy: Own the clinical intelligence and real-world evidence strategy from R&D through patient care, building a clear roadmap tied to the most critical scientific, medical, and business priorities across development, regulatory, and market access. Evidence Gap Prioritization: Define and rank the evidence gaps that matter most, informing PH3ID, trial design, external control arm strategies, and subpopulation discovery to accelerate confident decisions. Translational and Clinical Partnership: Partner with Translational Science and Clinical Development to integrate genomics, imaging, digital endpoints, and pathology AI into strategies for patient stratification and biomarker-driven development. AI-Enabled Hematology Methods: Advance AI-driven approaches including tumor dynamics forecasting, prognostic risk adjustment, trial simulation, and transportability analyses to de-risk and optimize clinical programs. Integrated Insight Generation: Convert internal and competitor trial data, together with real-world data, into actionable insight on standard of care, patient journeys, unmet need, and competitive positioning that guides development and access strategies. Stakeholder Influence and Alignment: Influence Global Product Teams, matrix partners, and external data collaborators to ensure evidence outputs are both methodologically rigorous and strategically relevant. Compounding Intelligence Foundation: Build an oncology therapeutic area specific intelligence that persists and grows within the PH3ID Intelligence Foundation so evidence compounds across use cases rather than being rebuilt each time. Immediate Broader Impact: Deliver early wins that inform ongoing trials and filings, then scale reusable capabilities and standards that elevate decision quality across the hematology portfolio. Essential Skills\\\/Experience: Leadership & Influence Track record of translating complex analytical outputs into strategic recommendations that advise portfolio decisions. Experience working at the interface of Translational Science, Clinical Development, and Market Access functions, with the ability to distill technical complexity into clear narratives for diverse audiences. Demonstrated ability to lead without authority, influencing senior collaborators and cross-functional teams in a matrixed environment. Technical and Strategic Expertise Expert command of oncology real-world data assets and their application to evidence generation. Proven track record to build end-to-end evidence strategies that address both clinical development needs (trial design, regulatory submissions) and market access needs (HTA requirements, payer value narratives). Strong foundation in evidence generation methodologies, including observational study design, causal inference, comparative effectiveness research, and external control arms. Experience with regulatory submissions or HTA dossiers leveraging RWE. Solid understanding of multimodal modeling approaches, and how clinical, imaging, genomic, and real-world data can be integrated to build patient classifiers, prognostic models, and trial simulators. Education and Experience Advanced degree (PhD, PharmD, MD, or equivalent) in epidemiology, biostatistics, health economics, clinical science, or a quantitative discipline relevant to evidence generation. 7+ years of experience in evidence generation, RWE, health outcomes research, or a related function within pharma, biotech, or a leading academic or consultancy environment. Desirable Skills\\\/Experience: Familiarity with AI\\\/ML applications in RWE, including predictive modeling and automated evidence synthesis. Prior experience shaping or contributing to AI-enabled evidence platforms. In-Office Working Requirements When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. The annual base pay for this position ranges from $ 186.014,40 to $279.021,60. Our positions offer eligibility for various incentives\\u2014an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans. Ready to make a difference? Apply now!\",\n    \"datePosted\": \"2026-10-14T14:20:00+03:00\",\n    \"hiringOrganization\": {\n        \"@type\": \"Organization\",\n        \"name\": \"AstraZeneca\"\n    },\n    \"publisher\": {\n        \"@type\": \"Organization\",\n        \"name\": \"EuropeanHealthEconomics.com\",\n        \"logo\": \"https:\\\/\\\/europeanhealtheconomics.com\\\/wp-content\\\/uploads\\\/European-Health-Economics-the-specialised-health-economist-job-board.png\"\n    },\n    \"jobLocation\": {\n        \"@type\": \"Place\",\n        \"address\": {\n            \"@type\": \"PostalAddress\",\n            \"addressCountry\": \"United States\"\n        }\n    }\n}<\/script><\/p>","protected":false},"excerpt":{"rendered":"<p>Cambridge, MA, US. We&#8217;re building a connected, end-to-end\u00a0Enterprise AI\u00a0engine &#8211; uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain.\u00a0Success depends on being exceptional connectors:\u00a0you&#8217;ll\u00a0actively\u00a0leverage\u00a0existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration &#8230; <a title=\"Director Oncology Clinical Intelligence &#038; RWE Strategy\" class=\"read-more\" href=\"https:\/\/europeanhealtheconomics.com\/fr\/north-america\/usa\/director-oncology-clinical-intelligence-rwe-strategy\/\" aria-label=\"En savoir plus sur Director Oncology Clinical Intelligence &#038; RWE Strategy\">En savoir plus<\/a><\/p>","protected":false},"author":1,"featured_media":100073321,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27503,27020],"tags":[27529,2102,27537,3728,4214,3910,5201,13087,2096,3732,20964,24843,27528,27536],"class_list":["post-100163215","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-north-america","category-usa","tag-artificial-intelligence","tag-astrazeneca","tag-biotech","tag-director","tag-hta","tag-market-access","tag-modelling","tag-oncology","tag-pharmaceuticals","tag-phd","tag-real-world-evidence","tag-senior-level","tag-value-and-access","tag-value-dossier","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Director Oncology Clinical Intelligence &amp; RWE Strategy - Cambridge, MA<\/title>\n<meta name=\"description\" content=\"Join AstraZeneca as a Director in Oncology Clinical Intelligence. 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Explore health economist jobs and find your next role in Cambridge.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/europeanhealtheconomics.com\/fr\/amerique-du-nord\/etats-unis\/director-oncology-clinical-intelligence-rwe-strategy\/\" \/>\n<meta property=\"og:site_name\" content=\"EuropeanHealthEconomics.com\" \/>\n<meta property=\"article:published_time\" content=\"2026-10-12T12:19:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-21T23:00:35+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/europeanhealtheconomics.com\/wp-content\/uploads\/Health-Economics-jobs-at-AstraZeneca.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Jari Kempers\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/\"},\"author\":{\"name\":\"Jari Kempers\",\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/#\\\/schema\\\/person\\\/f3945683d2bd69dd755b2e0c03a3fd3b\"},\"headline\":\"Director Oncology Clinical Intelligence &#038; RWE Strategy\",\"datePublished\":\"2026-10-12T12:19:00+00:00\",\"dateModified\":\"2026-10-21T23:00:35+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/\"},\"wordCount\":968,\"publisher\":{\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/wp-content\\\/uploads\\\/Health-Economics-jobs-at-AstraZeneca.webp\",\"keywords\":[\"Artificial Intelligence\",\"AstraZeneca\",\"Biotech\",\"Director\",\"HTA\",\"Market Access\",\"Modelling\",\"Oncology\",\"Pharmaceuticals\",\"PhD\",\"Real World Evidence\",\"Senior-level\",\"Value and Access\",\"Value Dossier\"],\"articleSection\":[\"North America\",\"USA\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/\",\"url\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/\",\"name\":\"Director Oncology Clinical Intelligence & RWE Strategy - Cambridge, MA\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/north-america\\\/usa\\\/director-oncology-clinical-intelligence-rwe-strategy\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/europeanhealtheconomics.com\\\/wp-content\\\/uploads\\\/Health-Economics-jobs-at-AstraZeneca.webp\",\"datePublished\":\"2026-10-12T12:19:00+00:00\",\"dateModified\":\"2026-10-21T23:00:35+00:00\",\"description\":\"Join AstraZeneca as a Director in Oncology Clinical Intelligence. 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