For our Research department in Marburg, we are looking for aSenior Biostatistician (m/f/x)R-247809Fulltime / permanent / tariff The OpportunityWe have an opportunity available for a Senior Research Statistician to join our Research Data Science team. You will provide scientific expertise in the area of biostatistics for a broad array of applications in pre-clinical research, focusing on the design, conduct and analysis of in vivo, in vitro and observational studies with research aims including indication selection, drug design and lead candidate selection, assay development and validation, mechanism of action, establishment of animal models, efficacy and safety, and comparison of in-house and competitor drug candidates.You will work closely with the Global Research Data Science group members and other CSL colleagues to set and deliver on project objectives and to determine appropriate data generation, processing, and analysis strategies. You will also work alongside CSL’s external collaborators to make recommendations on study design, execution and data analysis.The RoleOversee and provide support in statistical methodology for experimental design, data analysis, interpretation of results, report generation and other documentation for pre-clinical aims and studiesReview statistical planning and methodology of research proposals from external collaboratorsDevelop statistical pipelines tailored to specific aims including apps for recurring analyses designed for non-statistician usersContribute to innovation in statistical methodology applied to pre-clinical research by actively exploring and implementing new methodsEncourage the implementation and use of best practice guidelines (e.g. ARRIVE, RIPOSTE, STROBE and internal guidelines) on the design, data analysis and reporting of in vivo, in vitro and non-interventional studiesConduct statistical training through documentation, presentations and working closely with scientific groups for CSL R&D staff to raise awareness of statistical aspects and regulatory requirements in R&DContribute to establishment and maintenance of Data Science resources on-siteYour Skills and Experience:MSc in Statistics, Biostatistics, Mathematics or similar field (PhD is a plus)3 + years relevant expertise in academic or industrial environmentRecord of quality scientific output in collaboration with life scientists demonstrated by presentation and publication of scientific work or actual project work experienceStrong programming skills in R and RShinyAdvanced computer skills in high-level programming languages, and experience working with both open-source and commercial statistical software. Knowledge of, and experience in biology will also be advantageous.What we offerInnovative work-environment at our R&D campusCSL-subsidized company bike leasingChildcare “Kita Froschkönig” for up to 14 children (from 6 months till 3 years old) Access to Gym facility on campusup to 2 Wellness days per year (additional paid time off)Family services such as psychological support, legal advisory, family care services and more for you and your direct familyFor more information, please check out our global benefits below.We are looking forward to your application. Please ensure to apply online with your CV and certifications as well as your salary expectation.Our BenefitsWe encourage you to make your well-being a priority. It’s important and so are you. Learn more about how we care at CSL.About CSL BehringCSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring.We want CSL to reflect the world around usAs a global organisation with employees in 35+ countries, CSL embraces diversity and inclusion. Learn more about Diversity & Inclusion at CSL.Do work that matters at CSL Behring!