Senior Data Scientist (Biotechnology, On-site, Bagsværd)

Job summary

A data scientist is sought to apply AI and machine learning to optimize fermentation processes within a biotechnology context. This role involves collaboration with scientists and technicians to enhance process understanding and accelerate experimental workflows.

Qualifications

• MSc or PhD in Data Science, Biotechnology, Biochemical Engineering, Bioinformatics, or a related field.
• Strong background in data science, with experience in fermentation preferred.
• Proficiency in machine learning, statistical modeling, and time-series data analysis.

Responsibilities

• Develop predictive models to enhance fermentation performance.
• Utilize modeling to guide experimental design and prioritize experiments.
• Analyze data from bioreactors and analytical systems.
• Translate data insights into actionable lab-scale strategies.
• Create internal tools (e.g., Python/Streamlit apps) for model accessibility.
• Contribute to automated data workflows and digitalization efforts.
• Investigate new data sources and sensor technologies.

Skills

• Strong Python skills for data analysis and modeling.
• Understanding of experimental design and optimization.
• Experience with electronic lab notebooks and structured documentation.
• Excellent collaboration skills across disciplines.

Tools

• Python, Streamlit, Dash, Shiny, electronic lab notebooks (e.g., Benchling).