Principal Machine Learning Scientist (Biotechnology, Remote)

Job summary

The role involves leading the application of advanced analytics and AI in the field of computational microbiology, particularly focusing on dairy fermentation cultures. The position emphasizes causal reasoning and mechanistic insights rather than mere predictions.

Qualifications

• PhD in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or a related field.
• 7+ years of post-PhD experience in applying advanced analytical methods in complex settings.
• Expertise in advanced statistical and machine-learning methods.
• Experience with heterogeneous, noisy biological or experimental data.
• Strong programming skills, particularly in Python.

Responsibilities

• Develop and apply AI and machine-learning methods to understand cause-effect relationships in biological data.
• Build and curate a knowledge graph integrating various data sources.
• Translate biological questions into structured, explainable models.
• Collaborate with microbiologists and application scientists to ensure analyses are biologically relevant.
• Define standards and methods for connecting data and biology in product development.

Skills

• Curiosity about biological systems and a drive to understand underlying mechanisms.
• Ability to work in cross-disciplinary teams and influence experimental design.
• Strong communication skills to convey complex reasoning to diverse stakeholders.

Education

• PhD in a relevant field as mentioned in qualifications.

Tools

• Proficiency in programming languages such as Python for analytical framework development.