{"id":100157393,"date":"2026-09-04T09:38:53","date_gmt":"2026-09-04T06:38:53","guid":{"rendered":"https:\/\/europeanhealtheconomics.com\/?p=100157393"},"modified":"2026-09-17T04:54:56","modified_gmt":"2026-09-17T01:54:56","slug":"rwe-data-scientist","status":"publish","type":"post","link":"https:\/\/europeanhealtheconomics.com\/fi\/jobs\/rwe-data-scientist\/","title":{"rendered":"RWE Data Scientist"},"content":{"rendered":"<p><strong>Barcelona, Spain.<\/strong><\/p>\n<p>As RWE Data Scientist you\u2019ll provide a high level of expertise in employing cutting-edge analytical &#038; computational approaches to drive evidence-based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&#038;D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting edge analysis to key business questions.<\/p>\n<p>Examples of Advanced Analytics activities:<\/p>\n<ul>\n<li>Machine\/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs;<\/li>\n<li>Create a framework for generating re-usable models and insights across big-data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging);<\/li>\n<li>Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imaging;<\/li>\n<li>Adoption of emerging technology into an analytical framework: distributed analytics, graph databases<\/li>\n<\/ul>\n<p>People:<\/p>\n<ul>\n<li>Work together with RWE team to support projects across the franchises motivated by business needs;<\/li>\n<li>Work closely with the Medical, Market Access, HEOR, and Commercial team to maximize the value of our portfolio of priority assets worldwide;<\/li>\n<li>Work collaboratively within Medical and across functions, with clients and external collaborators;<\/li>\n<li>Act as a subject matter expert in data science, statistical analysis and\/or modelling working on team projects;<\/li>\n<li>Work with internal and external study lead to execute Advance Analytics projects and studies<\/li>\n<li>Mentor analysts on advanced analytics and RWE techniques; conduct technical workshops and training sessions<\/li>\n<\/ul>\n<p>Process:<\/p>\n<ul>\n<li>Work together and lead research analytical projects, including project conceptualization and design;<\/li>\n<li>Lead analysis of healthcare data, including clinical trial datasets, transactional claims, and electronic health records, using established and novel statistical and analytical techniques;<\/li>\n<li>Generate rapid response analyses for cross-functional stakeholders;<\/li>\n<li>Lead or contribute to drafting and reviewing technical and study reports, manuscripts for publishing in high-impact peer-reviewed journals, and abstracts and presentations for international conferences;<\/li>\n<li>Actively manage project activity and timelines;<\/li>\n<li>Internally advise your colleagues in the Health Economics, Commercial, and Medical franchises on your areas of technical and research expertise as directed by your supervisor;<\/li>\n<li>Communicate complex concepts and interpretation of analysis and findings to different audiences, including health economists, clinicians, policy makers, and health systems;<\/li>\n<li>Represent the team at external meetings;<\/li>\n<li>Validate and secure access to third-party healthcare data-sets<\/li>\n<\/ul>\n<p>Performance:<\/p>\n<ul>\n<li><strong>Program, QC, and execute end-to-end RWE studies<\/strong> using diverse real-world data sources (claims, EHR, registries) and standardized formats (OMOP CDM); implement and execute computational and statistical methodologies in Advanced Analytics for RWE;<\/li>\n<li>Provide expertise and execute advanced analytics for solving problems across R&#038;D, Medical Affairs, HEVA and Market Access Strategies and Plans<\/li>\n<\/ul>\n<p>About you:<\/p>\n<ul>\n<li><strong>Experience<\/strong>: 8+ years\u2019 experience; High level proficiency in at least two or more technical or analytical languages (R, Python, SQL); experience with advanced ML techniques (neural networks\/deep learning, reinforcement learning, SVM, PCA, etc.) and causal inference methodologies (propensity score methods, inverse probability weighting, doubly robust estimation); confounding adjustment techniques; comparative effectiveness research design; survival analysis (Kaplan-Meier, Cox models, competing risks); longitudinal data analysis methods; Strong healthcare data analysis expertise, expertise in data analysis techniques, and good understanding of healthcare datasets (EHR, Claims, RCTs), and data structures; Expertise in use of statistical methods to investigate real-world problems (e.g., patient journey, time to event analysis); Advanced experience in preparing, analysing, and managing large healthcare datasets in interventional and\/or non-interventional studies; Ability to prototype analyses and algorithms in high-level languages embracing reproducible and collaborative technology platforms (e.g. GitHub, containers, jupyter notebooks); Exposure to NLP\/LLM technologies and analyses; Knowledge of some data visualization technologies (ggplot2, R shiny, plotly, d3, Power BI);<\/li>\n<li><strong>Real-World Data (RWD)<\/strong>: Experience with Real-World Data (RWD), demonstrated proficiency in working with diverse real-world data sources, including but not limited to: MarketScan, Optum, TriNetX, IQVIA and STATinMED.<\/li>\n<\/ul>\n<ul>\n<li><strong>Education<\/strong>: PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; Relevant Master\u2019s Degree, with 10 years of related industry or academic experience.<\/li>\n<\/ul>\n<ul>\n<li><strong>Soft skills<\/strong>: Integrity; Analytic excellence; Excellent written and oral communication skills; ability to communicate complex topics and data results in a concise and precise manner; High level of self-awareness; Ability to cooperate cross-functionally; Problem-solving and creative thinking skills; Enjoys working independently, flexibly and as part of a team on multiple projects; Enthusiastic and professional approach to working with colleagues, clients, and external collaborators.<\/li>\n<li><strong>Languages<\/strong>: Excellent knowledge of English language (spoken and written)<\/li>\n<\/ul>\n<p>#LI-Hybrid #BarcelonaHub #SanofiHubs<\/p>\n<p>Salary Range EUR 70,800.00 &#8211; 94,400.00<\/p>\n<p>This job is posted by Sanofi.<\/p>\n<p><a class=\"button\" href=\"https:\/\/jobs.sanofi.com\/en\/job\/barcelona\/rwe-data-scientist\/2649\/38735376704\" target=\"_blank\" rel=\"noopener\" aria-label=\"Apply for the RWE Data Scientist job at Sanofi\" title=\"Apply for the RWE Data Scientist job at Sanofi\">APPLY FOR JOB<\/a><\/p>\n<p><em>This link brings you to the website of Sanofi.<\/em><\/p>\n<p><strong>Please mention that you found the role via EuropeanHealthEconomics.com.<\/strong> Thank you and good luck!<\/p>\n<p><script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"JobPosting\",\n    \"title\": \"RWE Data Scientist\",\n    \"description\": \"As RWE Data Scientist you\\u2019ll provide a high level of expertise in employing cutting-edge analytical & computational approaches to drive evidence-based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting edge analysis to key business questions. Examples of Advanced Analytics activities: Machine\\\/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs; Create a framework for generating re-usable models and insights across big-data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging); Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imaging; Adoption of emerging technology into an analytical framework: distributed analytics, graph databases People: Work together with RWE team to support projects across the franchises motivated by business needs; Work closely with the Medical, Market Access, HEOR, and Commercial team to maximize the value of our portfolio of priority assets worldwide; Work collaboratively within Medical and across functions, with clients and external collaborators; Act as a subject matter expert in data science, statistical analysis and\\\/or modelling working on team projects; Work with internal and external study lead to execute Advance Analytics projects and studies Mentor analysts on advanced analytics and RWE techniques; conduct technical workshops and training sessions Process: Work together and lead research analytical projects, including project conceptualization and design; Lead analysis of healthcare data, including clinical trial datasets, transactional claims, and electronic health records, using established and novel statistical and analytical techniques; Generate rapid response analyses for cross-functional stakeholders; Lead or contribute to drafting and reviewing technical and study reports, manuscripts for publishing in high-impact peer-reviewed journals, and abstracts and presentations for international conferences; Actively manage project activity and timelines; Internally advise your colleagues in the Health Economics, Commercial, and Medical franchises on your areas of technical and research expertise as directed by your supervisor; Communicate complex concepts and interpretation of analysis and findings to different audiences, including health economists, clinicians, policy makers, and health systems; Represent the team at external meetings; Validate and secure access to third-party healthcare data-sets Performance: Program, QC, and execute end-to-end RWE studies using diverse real-world data sources (claims, EHR, registries) and standardized formats (OMOP CDM); implement and execute computational and statistical methodologies in Advanced Analytics for RWE; Provide expertise and execute advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and Plans About you: Experience: 8+ years\\u2019 experience; High level proficiency in at least two or more technical or analytical languages (R, Python, SQL); experience with advanced ML techniques (neural networks\\\/deep learning, reinforcement learning, SVM, PCA, etc.) and causal inference methodologies (propensity score methods, inverse probability weighting, doubly robust estimation); confounding adjustment techniques; comparative effectiveness research design; survival analysis (Kaplan-Meier, Cox models, competing risks); longitudinal data analysis methods; Strong healthcare data analysis expertise, expertise in data analysis techniques, and good understanding of healthcare datasets (EHR, Claims, RCTs), and data structures; Expertise in use of statistical methods to investigate real-world problems (e.g., patient journey, time to event analysis); Advanced experience in preparing, analysing, and managing large healthcare datasets in interventional and\\\/or non-interventional studies; Ability to prototype analyses and algorithms in high-level languages embracing reproducible and collaborative technology platforms (e.g. GitHub, containers, jupyter notebooks); Exposure to NLP\\\/LLM technologies and analyses; Knowledge of some data visualization technologies (ggplot2, R shiny, plotly, d3, Power BI); Real-World Data (RWD): Experience with Real-World Data (RWD), demonstrated proficiency in working with diverse real-world data sources, including but not limited to: MarketScan, Optum, TriNetX, IQVIA and STATinMED. Education: PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; Relevant Master\\u2019s Degree, with 10 years of related industry or academic experience. Soft skills: Integrity; Analytic excellence; Excellent written and oral communication skills; ability to communicate complex topics and data results in a concise and precise manner; High level of self-awareness; Ability to cooperate cross-functionally; Problem-solving and creative thinking skills; Enjoys working independently, flexibly and as part of a team on multiple projects; Enthusiastic and professional approach to working with colleagues, clients, and external collaborators. Languages: Excellent knowledge of English language (spoken and written) #LI-Hybrid #BarcelonaHub #SanofiHubs Salary Range EUR 70,800.00 - 94,400.00\",\n    \"datePosted\": \"2026-08-20T09:38:53.182+03:00\",\n    \"hiringOrganization\": {\n        \"@type\": \"Organization\",\n        \"name\": \"Sanofi\"\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\": \"Spain\"\n        }\n    }\n}<\/script><\/p>","protected":false},"excerpt":{"rendered":"<p>Barcelona, Spain. As RWE Data Scientist you\u2019ll provide a high level of expertise in employing cutting-edge analytical &#038; computational approaches to drive evidence-based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&#038;D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting &#8230; <a title=\"RWE Data Scientist\" class=\"read-more\" href=\"https:\/\/europeanhealtheconomics.com\/fi\/jobs\/rwe-data-scientist\/\" aria-label=\"Lue lis\u00e4\u00e4 aiheesta RWE Data Scientist\">Lue lis\u00e4\u00e4<\/a><\/p>","protected":false},"author":1,"featured_media":100073978,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[97,8861],"tags":[27529,27018,4614,3729,3910,27029,5201,2096,3732,19176,27508,20964,4593,27556,24843,7856,27528],"class_list":["post-100157393","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-jobs","category-spain","tag-artificial-intelligence","tag-global-health","tag-heor","tag-manager","tag-market-access","tag-masters-degree","tag-modelling","tag-pharmaceuticals","tag-phd","tag-python","tag-r-modelling","tag-real-world-evidence","tag-sanofi","tag-scientist","tag-senior-level","tag-statistics","tag-value-and-access","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>RWE Data Scientist in Barcelona at Sanofi<\/title>\n<meta name=\"description\" content=\"Explore RWE Data Scientist roles in Barcelona. 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