About the CompanyDataHow AG is a spin-off company of ETH Zurich founded in 2017. Our mission is to bring Industry 4.0 to the chemical, pharmaceutical, and biopharmaceutical sectors. We develop and commercialise predictive software that integrates sensor signals, process models, machine learning, reinforcement learning, historical data, and process engineering knowledge. Our technology accelerates process development, transfer, manufacturing, and risk & quality management—already trusted by 8 of the world's 20 largest pharma companies.About the RoleYou will join our R&D team to develop the algorithmic backbone for chromatographic process unit within DataHowLab. This involves building and refining innovative hybrid models that combine mechanistic understanding with data-driven approaches – a cutting-edge methodology that sets DataHow apart in the industry. You will design, implement, and validate chromatographic models, translating scientific knowledge into robust, well-structured code. Ideally, you bring both strong programming skills and hands-on laboratory experience in chromatography, enabling you to bridge the gap between experimental science and computational modeling.Responsibilities Develop and implement mechanistic and hybrid models for chromatographic separation processes Develop, deploy, benchmark and maintain new and existing sections of the modeling code base. Stay current with the latest advancements in chromatographic or more generally partial differential equation modeling, leveraging machine learning Finding innovative ways to apply cutting-edge methods and other effective techniques to our challenges. Collaborate closely with fellow R&D engineers, data scientists, product and project teams to integrate models into DataHowLabQualificationsA strong university degree (minimum MSc or equivalent) in Chemical Engineering, Bioprocess Engineering, Biotechnology, Data Science, Statistics, Mathematics, or a related field.Required Skills Solid understanding of chromatographic separation processes (ion exchange, affinity, hydrophobic interaction, etc.) Proficiency in Julia and/or Python for scientific computing and model development Experience with numerical methods, simulation, and/or parameter estimation Experience in solving differential equations with numerical methods. Excellent problem-solving skills and attention to detail. Ability to work effectively in a team environment.Nice to Have Hands-on laboratory experience in chromatography or downstream processing Experience with mechanistic modeling of chromatography (e.g., general rate model, transport-dispersive model)Pay range and compensation packageIntegration into a young, dynamic, and interdisciplinary team of computationally driven chemical engineers, biotechnologists, and computer scientists. Hybrid work model, with flexibility between our main office in Lisbon and home office. A highly versatile role balancing advanced research, real-world industrial applications, and customer interaction. A steep learning curve, significant responsibility, and exposure to high-impact international projects. Opportunities for travel, conferences, and participation in company-wide community events. Attractive working conditions and clear opportunities for career progression.Equal Opportunity StatementDataHow AG is committed to diversity and inclusivity in the workplace. We encourage applications from individuals of all backgrounds and experiences.