Minimum 3 years of applied data science experience
Proficiency in python or r for data analysis
You will partner with scientists, engineers and business stakeholders to design models and turn results into clear recommendations that improve health outcomes
Job Summary
You will partner with scientists, engineers and business stakeholders to design models and turn results into clear recommendations that improve health outcomes.
This role offers strong growth through cross-functional projects, visible impact on public health, and the chance to develop technical and leadership skills.
You will work on meaningful problems affecting global health while gaining exposure to senior stakeholders across science, technology and commercial teams.
Matching Summary
You will partner with scientists, engineers and business stakeholders to design models and turn results into clear recommendations that improve health outcomes.
Skills & Requirements
Must-have
Bachelor's or Master's degree in related field
Minimum 3 years of applied data science experience
Proficiency in Python or R for data analysis
Solid knowledge of statistical methods and machine learning
Practical experience with SQL and relational databases
Nice-to-have
Experience deploying models to production on cloud platforms
Familiarity with scikit-learn, TensorFlow or PyTorch frameworks
Background in healthcare, life sciences or clinical data
Knowledge of model monitoring, governance and explainability
Comfortable working in a hybrid model with on-site presence
Key Requirements
Bachelor's or Master's degree in statistics, computer science, mathematics, data science, engineering or related field
Minimum 3 years of applied data science experience in industry, consulting or research
Strong communication skills with ability to explain technical results to non-technical audiences