Toa Payoh - Health Data Scientist

The Data Science team is looking to expand its team with a new Health Data Scientist who will work across multiple global functions to manage projects across all health categories.

• Understand business needs after liaising with different stakeholders on multiple projects
• Design and implement strategies for developing ML algorithms, oftentimes incorporating deep learning and GenAI technologies, strategies for developing and maintaining data ingestion pipelines for training the models, as well as
• Maintain documentation for regulatory & ethical standards, and enforcing proper documentation for AI, ML development and data ingestion pipelines
• Propose and maintain budgets for the different projects

To be successful in this role you will need…

The following technical skills and experience:

• A Masters/Ph.D. in a technical field
• Prior experience in designing and implementing ML solutions as well as demonstrable experience in leading a machine learning team
• Knowledge of deep-learning and proficiency in at least one deep learning framework
• At least 5 years of demonstrable data science project management experience
• Project-management skills including, defining projects, scope, resource requirements, timelines, evaluation criteria
• Knowledge of project management frameworks such as Kanban, Scrum (Agile), and which to use for a particular project is required
• Comfortable with popular cloud frameworks such as AWS/Azure
• 2-3 years of work experience in the field of Data Science in a healthcare/pharma company will be a huge plus
• A background in microbiology/biological sciences will be a plus

These soft skills:

• Be comfortable with stakeholder management and engagement
• The ability to communicate with business users, understand their needs, and translating business problems into tangible data science projects
• Ability to communicate complex scientific results to business stakeholders