{"data":{"id":200933,"slug":"senior-statistician-late-cardiovascular-renal-and-metabolism","type":"job","title":"Senior Statistician - Late Cardiovascular, Renal and Metabolism","description":"Do you have expertise in Statistics and a passion for Drug Development? Would you like to apply your skills to impact late-stage drug development in a company that frontiers science and turns ideas into life-changing medicines? Then AstraZeneca might be the match for you.\n\nAt AstraZeneca, you will apply innovative and creative approaches to science while working across a strong pipeline of cutting-edge medicines. You'll join passionate professionals who push the boundaries of science and technology to develop and deliver medicines that help people live better lives. Our cardiovascular, renal and metabolism (CVRM) pipeline spans investigational therapies at varied stages of clinical development, from recently approved products to earlier stage molecules. We are currently looking for a Senior Statistician to join our global Biometrics team and contribute with statistical expertise within late-stage drug development projects. This role is based at AstraZeneca's R&D site in Gothenburg, Sweden.\n\nAccountabilities:\nWe are looking for individuals who can work independently on complex statistical activities, collaborate cross-functionally, and communicate results clearly. In this role, depending on seniority, your responsibilities will include:\n\nProvide statistical expertise for complex study design and interpretation across preclinical\/clinical programmes, internal governance, regulatory submissions and commercialisation\n\nAnalyse internal and external data; perform modelling and simulation to inform design decisions and decision criteria\n\nDevelop Statistical Analysis Plans for complex studies and project deliveries\n\nCoach and guide less experienced statisticians in producing analyses, graphics and tables for reports, Global Medical Affairs studies and publications\n\nAnalyse, interpret, summarise and communicate results; contribute to regulatory documents and responses\n\nIdentify and apply methodological improvements, including modelling and simulation, to enhance study design, process and delivery\n\nUnder guidance, investigate and apply novel statistical approaches; provide consultancy, engage with external scientists\/academia, and communicate research (conferences\/journals)\n\nEssential Skills\/Experience:\n\nMSc\/PhD in Statistics or Mathematics (containing a substantial statistical component)\n\nCompetent statistical programmer (SAS, R, and\/or Python)\n\nExcellent communication skills and ability to collaborate and work effectively in teams\n\nExperience and knowledge of statistical methods and applications in study design, analysis and interpretation\n\nKeen interest in research; Comfortable learning and applying new statistical methods.\n\nDesirable Skills\/Experience:\n\nKnowledge of key technical and regulatory requirements related to the role\n\nExperience of design, analysis and reporting of preclinical or clinical studies\n\nExperience of pharmaceutical development\n\nAbility to apply statistical expertise to problems, with strong problem solving and quality focus\n\nAstraZeneca offers an environment where curiosity thrives. We are committed to making a difference by fusing data and technology with scientific innovations. With opportunities for lifelong learning and career development, you can explore without limits while contributing to life-changing medicines.\n\nReady to make an impact? Apply now to join our team at AstraZeneca!\nWelcome with your application by September 20th, 2026.","language":"sv","is_translated":true,"title_original":"Senior Statistician - Late Cardiovascular, Renal and Metabolism","description_original":"Do you have expertise in Statistics and a passion for Drug Development? Would you like to apply your skills to impact late-stage drug development in a company that frontiers science and turns ideas into life\u2011changing medicines? Then AstraZeneca might be the match for you. \n \nAt AstraZeneca, you will apply innovative and creative approaches to science while working across a strong pipeline of cutting-edge medicines. You'll join passionate professionals who push the boundaries of science and technology to develop and deliver medicines that help people live better lives. Our cardiovascular, renal and metabolism (CVRM) pipeline spans investigational therapies at varied stages of clinical development, from recently approved products to earlier stage molecules. We are currently looking for a Senior Statistician to join our global Biometrics team and contribute with statistical expertise within late-stage drug development projects. This role is based at AstraZeneca's R&D site in Gothenburg, Sweden.\n \nAccountabilities:\nWe are looking for individuals who can work independently on complex statistical activities, collaborate cross-functionally, and communicate results clearly. In this role, depending on seniority, your responsibilities will include:\n\nProvide statistical expertise for complex study design and interpretation across preclinical\/clinical programmes, internal governance, regulatory submissions and commercialisation\n\n\nAnalyse internal and external data; perform modelling and simulation to inform design decisions and decision criteria\n\n\nDevelop Statistical Analysis Plans for complex studies and project deliveries\n\n\nCoach and guide less experienced statisticians in producing analyses, graphics and tables for reports, Global Medical Affairs studies and publications\n\n\nAnalyse, interpret, summarise and communicate results; contribute to regulatory documents and responses\n\n\nIdentify and apply methodological improvements, including modelling and simulation, to enhance study design, process and delivery\n\n\nUnder guidance, investigate and apply novel statistical approaches; provide consultancy, engage with external scientists\/academia, and communicate research (conferences\/journals)\n\n\n \nEssential Skills\/Experience:\n\nMSc\/PhD in Statistics or Mathematics (containing a substantial statistical component)\n\n\nCompetent statistical programmer (SAS, R, and\/or Python)\n\n\nExcellent communication skills and ability to collaborate and work effectively in teams\n\n\nExperience and knowledge of statistical methods and applications in study design, analysis and interpretation\n\n\nKeen interest in research; Comfortable learning and applying new statistical methods.\n\n\n \nDesirable Skills\/Experience:\n\nKnowledge of key technical and regulatory requirements related to the role\n\n\nExperience of design, analysis and reporting of preclinical or clinical studies\n\n\nExperience of pharmaceutical development\n\n\nAbility to apply statistical expertise to problems, with strong problem solving and quality focus\n\n\n \nAstraZeneca offers an environment where curiosity thrives. We are committed to making a difference by fusing data and technology with scientific innovations. With opportunities for lifelong learning and career development, you can explore without limits while contributing to life-changing medicines.\n \nReady to make an impact? Apply now to join our team at AstraZeneca!\nWelcome with your application by September 20th, 2026.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Pepparedsleden 1, M\u00f6lndal","full_address":null,"city":"Gothenburg","country":"SE","latitude":57.70887,"longitude":11.97456},"metadata":{"region":"V\u00e4stra G\u00f6talands l\u00e4n","duration":"Tills vidare","employer":"AstraZeneca AB","postcode":"43150","positions":1,"profession":"Statistiker","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"AstraZeneca AstraZeneca","employment_type":"full_time","occupation_field":"Administration, ekonomi, juridik","employer_workplace":"AstraZeneca","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":2,"ai_views_count":7,"bot_views_count":5,"ai_vendor_counts":{"openai":4,"anthropic":3},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"eleonor.ehrman@astrazeneca.com","images":[],"published_at":"2026-09-08T15:12:23+00:00","expires_at":"2026-09-22T23:59:59+00:00","created_at":"2026-09-09T03:26:37+00:00","updated_at":"2026-09-17T02:54:32+00:00"}}