Methodology Development: Develop new data analysis methods and technologies in line with the department roadmap. This includes performing statistical design and evaluation of experiments, multivariate data analysis, and harnessing predictive modeling approaches.
Continuous Improvement: Monitor model performance and make iterative improvements based on feedback and new data.
Innovation: Explore novel AI/ML approaches to enhance cell culture media development processes.
Project Leadership: Propose, execute and lead ML- and data -based work packages within defined projects in related technology areas.
IT data Infrastructure
Reporting: Evaluate, analyze and present project results
Expert Engagement: Actively participate in internal and external expert groups and/or networks
data Pipeline Maintenance: Design, build, TEST and maintan robust data processing pipelines.
Requirements: Masters degree in Science, Engineering or Computer/ data Science; minimum Bachelor's degree in a relevant field.
Basic understanding of SQL and database concepts.
Experience in industry with a proven track record
Very good written and verbal English communication skills.
Ability to work self-driven and with a high level of self-motivation.
Strong analytical and conceptual thinking skills to solve complex problems.
Interest in cloud data platforms and data engineering.
Confident handling of MS Office.
3+ years of work experience (or 7+ years of work experience with a Bachelor's degree).
Solid working knowledge of Python is required, with familiarity in libraries such as Pandas, scikit-learn and other Python ML libraries.
Experienced in statistical analysis and relevant programming languages and software tools.
This position is open to all candidates.