Sartorius
Sartorius
Sartorius develops technologies that support life sciences research and biopharmaceutical production. Its Lab Products & Services division supplies laboratory instruments and consumables for pharmaceutical and biopharmaceutical research, quality control, and academic laboratories. Through Bioprocess Solutions, the company provides single-use systems and other equipment used to manufacture biologic medicines, vaccines, and cell and gene therapies. Based in Göttingen, Germany, Sartorius serves customers worldwide through a global network of production and sales sites and a workforce of approximately 14,600 people.

Data Analytics Application Scientist – Bioprocessing (Sartorius, Ireland Remote)

Join Sartorius as a Data Analytics Application Scientist supporting biopharma customers across Europe. Apply Umetrics analytics solutions to manufacturing challenges, customer projects, and process improvement initiatives.

Description

  • Help biopharma and pharmaceutical customers address complex process and business challenges with advanced data analytics
  • Deploy advanced analytics solutions in customer environments
  • Serve as a subject matter expert on customer projects while supporting pre-sales and post-sales activities across Europe
  • Evaluate process and manufacturing data and build data-driven models with the Umetrics software suite
  • Partner with customers to strengthen process understanding, improve performance, and uncover opportunities through data analysis
  • Coordinate with regional colleagues on global customer accounts
  • Provide training and technical assistance for SIMCA®, MODDE®, SIMCA-online®, and related analytics products
  • Develop durable customer relationships that support successful delivery and long-term partnerships
  • Produce technical documentation, application notes, presentations, and project reports
  • Capture customer feedback and share insights that inform future analytics solution development
  • Represent Sartorius at conferences, seminars, workshops, and industry forums
  • Build effective working relationships with stakeholders across the internal and external business network

Requirements

  • Master’s degree or PhD in engineering, biotechnology, bioprocess engineering, life sciences, data analytics, statistics, informatics, or a related field
  • Industry experience in biopharma or pharmaceuticals, with a solid understanding of manufacturing, process development, MSAT, or related operations
  • Background working with process data, data analysis, process monitoring, or statistical assessment of manufacturing or development processes
  • Knowledge of multivariate data analysis, machine learning, advanced statistics, MSPC, PAT, QbD, or related analytical methods is advantageous
  • Demonstrated interest in building advanced data analytics expertise and using data-driven methods to solve customer problems
  • Experience with downstream processing, chromatography, or related bioprocessing applications is a strong advantage
  • Strong customer-facing communication and presentation abilities, including the capacity to explain technical concepts to varied audiences
  • Ability to work independently and contribute effectively to an international team
  • Experience with SIMCA®, MODDE®, or SIMCA-online® is beneficial
  • Knowledge of Python or another scripting language is advantageous
  • Experience in consulting, training, project management, or customer support is an asset
  • Willingness to travel regularly within Europe
  • Must have the right to work in Ireland

Benefits

  • Mentoring, leadership development programs, and internal seminars
  • Remote working options
  • Flexible working schedules
  • Comprehensive onboarding with access to a virtual platform before joining
  • Supportive teamwork and international collaboration
  • Employee communities centered on coaching, agile working, and a businesswomen’s network
  • Healthcare plans and health assessment services
  • 37.5-hour work week
  • 25 days of annual leave plus public holidays
  • Private medical insurance
  • Private dental insurance
  • Group life assurance
  • Long-term disability insurance
  • Cycle-to-work scheme, paid by the employee
  • Defined contribution occupational pension

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