Lead Data Scientist – Virtual Models

📋 Description

• Review and assess proposals from QIMA’s Business Units.
• Examine the underlying data in detail, including its quality, structure, consistency, depth and
• Recommend one or two models with the strongest potential for development, subject to approval by
• Build and manage the required data pipelines.
• Clean, structure, integrate and analyse complex biological datasets.
• Develop machine learning models and proof of concepts.

🎯 Requirements

• PhD in data science, biostatistics, bioinformatics, machine learning or a related field
• 8–10 years of experience in data science, biostatistics and machine learning
• Proven track record of delivering complex machine learning projects using complex biological
• Strong experience building data pipelines, assessing data quality, identifying limitations and
• Experience working with scientists and translating scientific questions into data and modelling
• Excellent communication skills and ability to explain complex concepts clearly to non-specialists

🎁 Benefits

• Opportunity to build a new capability from the ground up
• Shape how QIMA uses its biological data
• Direct access to senior leadership, laboratory experts and technical teams
• Autonomy to define the approach and deliver tangible results