You 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.
Key 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 DataHowLab
- A strong university degree (minimum MSc or equivalent) in Computer Science, Data Science, Statistics, Mathematics, or a related field
- 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.
Integration 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.