Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Cytiva, one of Danaheru2019s (https://danaher.com/our-businesses) 15 operating companies, our work saves livesu2014and weu2019re all united by a shared commitment to innovate for tangible impact. Youu2019ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaheru2019s system of continuous improvement, you help turn ideas into impact u2013 innovating at the speed of life. Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us u2013 working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career. Learn about the Danaher Business System (https://www.danaher.com/how-we-work/danaher-business-system) which makes everything possible. As Senior Scientist, Data Science, this role provides technical leadership to build and strategically advance datau2011driven and AIu2011based approaches for cell line development, upstream process development, and genetic combination analysis. The position focuses on developing and operationalizing predictive models and scalable MLOps workflows using Cytivau2019s Scientific Data Platform, while working in close collaboration with a global network of Data Scientists across Cytiva and Danaher. The role also leads crossu2011functional projects in partnership with R&D, IT, Quality, and Regulatory teams to enable compliant, datau2011driven decision making across the cell line development workflow. What you will do Develop and apply advanced ML and statistical models (e.g. regression, treeu2011based, Bayesian, DoE) to support mammalian cell line and upstream process R&D. Take ownership of building and operating endu2011tou2011end ML workflows and a scalable data science and MLOps infrastructure, spanning data ingestion, feature engineering, model deployment, and monitoring. Leverage Cytivau2019s Scientific Data Platform (Signals, TetraScience, scientific data lake) and cloud environments (AWS/Azure) for compliant analytics. Design scalable data engineering pipelines connecting lab instruments, ELN, and analytics layers. Lead and manage crossu2011functional projects across R&D, IT, Quality, and Regulatory, including planning, prioritization, and stakeholder alignment. u200b u200b Who you are PhD or Masteru2019s degree in Bioinformatics, Computational Biology, Data Science, Biotechnology, or a related field with several years of handsu2011on experience applying machine learning and data analytics in life sciences or biopharma. Strong programming skills in Python, experience with SQL, and modern ML framework, experience in building data pipelines (Linux, Docker, CI/CD). Ability to work across disciplines and build strong working relationships with IT, scientists, and engineers. Demonstrated ability to build new teams and capabilities, including shaping ways of working and technical standards. Proficient English language oral and written skills, German would be a plus. u200b It would be a plus if you also have experience in Mammalian cell line development in an R&D or early development setting. Viral vectors (AAV preferred) or advanced bioprocess development. Aanalyzing NGS datasets (short and long-read sequencing). Join our winning team today. Together, weu2019ll accelerate the real-life impact of tomorrowu2019s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com .