BioAI Data Scientist

Responsibilities

• Understand and process data of different modalities (sequence data, in-vitro and in-vivo experiment data, clinical trial data) and curate them for data analysis and machine learning.
• Conduct rigorous data analysis and statistical modelling to interpret the data and model performance.
• Report results clearly and efficiently, both internally and externally, verbally and in writing.
• Write high-quality, easy-to-understand, and maintainable code together with precise documentation.
• Follow and communicate the latest developments in biology.

Requirements

• Master's or PhD degree or equivalent experience in bioinformatics, statistics, computational biology, computer science, or related scientific field
• Data science and statistics experience including data visualisations, statistical testing, etc.
• Domain knowledge of immunology, medicine, molecular biology, clinical studies or a related discipline, demonstrated via previous work or publications.
• Proficient in writing clean and maintainable code in Python.
• Strong desire to work with biological applications.
• Excellent communication skills in English and collaborative spirit.

Desirables

• Knowledge of current research in machine learning applied to biology.
• Experience working with large biological datasets, databases (PDB, Uniprot, etc.) and their API technologies.
• Demonstrated ability to contribute to novel research efforts; such as publications at leading life science or ML venues.