About the Company
DataHow 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 Role
You will join our R&D team in to develop the algorithmic solution for the core process unit currently supported in 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 upstream bioprocess models, translating scientific knowledge into robust, well-structured code. Ideally, you bring strong capabilities in machine learning and data science combined with programming skills.
Responsibilities
- Tackle real-world problems, working with several datasets across multiple domains for our customers and partners.
- Assist in the development and implementation of novel machine learning models and algorithms for multivariate timeseries prediction.
- Develop, deploy, benchmark and maintain new and existing sections of the modeling code base.
- Stay current with the latest advancements in 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.
Qualifications
A strong university degree (minimum MSc or equivalent) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Required Skills
- Strong understanding of machine learning concepts and algorithms.
- Proficiency in programming languages used for Data Science such as Python or Julia.
- Experience with machine learning libraries and frameworks (PyTorch, scikit-learn, JAX)
- Familiarity with data manipulation and analysis packages and tools (e.g., Pandas, Polars, NumPy, SQL).
- 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:
- Prior experience in the biopharmaceutical industry or bioprocess development
Pay range and compensation package
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.
Equal Opportunity Statement
DataHow AG is committed to diversity and inclusivity in the workplace. We encourage applications from individuals of all backgrounds and experiences.
