1 job found in Oslo, Oslo

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    • oslo, oslo
    • permanent
    NordicRWE is looking for an experienced biostatistician or data scientist or computational epidemiologist who can build and strengthen our analytical capabilities and contribute to the company expansion. As a senior scientist in NordicRWE you will apply your expert knowledge in biostatistics, epidemiology, pharmacoepidemiology, and data analytics to develop and support different steps in a science-driven and highly dynamic working environment. You will be a key person to build and expand our methodological toolbox and our analytical capabilities further. Senior Biostatistician / Computational Epidemiologist ResponsibilitiesPerform, lead and oversee the biostatistical and analytical work-processes, both in own projects and in stand-alone client projects    Lead and perform the development of study protocols, statistical analysis plans (SAPs), programming specification and results reporting documentsDevelop new, and apply state-of-the-art, methodologies and computational tools for a full exploitation of our data sourcesGuide and perform the data management processes, including data cleaning and preparation of analyses-ready cohorts and databasesServe as methodological expert to provide generic guidance on design and analysis of observational studiesContribute to communication, present insights and perspectives to clients, collaborators and at external scientific meetings Lead and contribute in the ongoing work with grant applications to Norwegian, Nordic and European programsBuild and retain a scientific focused network of research collaborationsTake part and lead work in scientific publications of highest quality and conference presentationsContribute to business development activities including formulating client proposals Contribute to efforts that drive operational efficiencies of analytical workflows, including internal guidance documents (e.g., SOPs and quality management documents)Lead and contribute to our further growth of the advanced analytics, including mentoring and helping new hires and junior team members QualificationsPhD in statistics, biostatistics, data science and/or epidemiology or other relevant filed Strong statistical programming skills in R, STATA, Python, C, SAS or similar computer languagesProven track-record of applying statistical methods in bio-medicine, clinical studies and/or epidemiologyCommitment to working collaboratively and effectively with people of other disciplinesGood team-working skillsStrong written and verbal communication skills Fluency in English (spoken and written)  Other useful qualificationsA proven experience working with Nordic registry data can be an advantage, but not a requirementPrior experience working in a consultancy, CRO or other service sector in the healthcare industry can be an advantageCloud-based computing, including working directly on external analysis rooms can be an advantageKnowledge of real-world data needs of pharmaceutical clients and insight in RWE driven drug developmentThe role can be based in any Nordic country, with some travel to Oslo. Opportunity to maintain an ongoing academic position and / or be co-affiliated with a university, with or without a corresponding reduction of involvement in NordicRWE.If you have questions please contact Senior Recruitment advisor, Jon Bjørbekk, cell: +47 952 11 580. 
    NordicRWE is looking for an experienced biostatistician or data scientist or computational epidemiologist who can build and strengthen our analytical capabilities and contribute to the company expansion. As a senior scientist in NordicRWE you will apply your expert knowledge in biostatistics, epidemiology, pharmacoepidemiology, and data analytics to develop and support different steps in a science-driven and highly dynamic working environment. You will be a key person to build and expand our methodological toolbox and our analytical capabilities further. Senior Biostatistician / Computational Epidemiologist ResponsibilitiesPerform, lead and oversee the biostatistical and analytical work-processes, both in own projects and in stand-alone client projects    Lead and perform the development of study protocols, statistical analysis plans (SAPs), programming specification and results reporting documentsDevelop new, and apply state-of-the-art, methodologies and computational tools for a full exploitation of our data sourcesGuide and perform the data management processes, including data cleaning and preparation of analyses-ready cohorts and databasesServe as methodological expert to provide generic guidance on design and analysis of observational studiesContribute to communication, present insights and perspectives to clients, collaborators and at external scientific meetings Lead and contribute in the ongoing work with grant applications to Norwegian, Nordic and European programsBuild and retain a scientific focused network of research collaborationsTake part and lead work in scientific publications of highest quality and conference presentationsContribute to business development activities including formulating client proposals Contribute to efforts that drive operational efficiencies of analytical workflows, including internal guidance documents (e.g., SOPs and quality management documents)Lead and contribute to our further growth of the advanced analytics, including mentoring and helping new hires and junior team members QualificationsPhD in statistics, biostatistics, data science and/or epidemiology or other relevant filed Strong statistical programming skills in R, STATA, Python, C, SAS or similar computer languagesProven track-record of applying statistical methods in bio-medicine, clinical studies and/or epidemiologyCommitment to working collaboratively and effectively with people of other disciplinesGood team-working skillsStrong written and verbal communication skills Fluency in English (spoken and written)  Other useful qualificationsA proven experience working with Nordic registry data can be an advantage, but not a requirementPrior experience working in a consultancy, CRO or other service sector in the healthcare industry can be an advantageCloud-based computing, including working directly on external analysis rooms can be an advantageKnowledge of real-world data needs of pharmaceutical clients and insight in RWE driven drug developmentThe role can be based in any Nordic country, with some travel to Oslo. Opportunity to maintain an ongoing academic position and / or be co-affiliated with a university, with or without a corresponding reduction of involvement in NordicRWE.If you have questions please contact Senior Recruitment advisor, Jon Bjørbekk, cell: +47 952 11 580. 

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