You will be responsible for designing, developing, and implementing analytical models to support projects improving patient outcomes. You will work with healthcare providers to address challenges using data and techniques in Data Science, Optimisation, and Machine Learning.
Requirements
- Bachelor’s Degree in Computer Science, Mathematics, Physics, Statistics, Operations Research, Engineering or related quantitative disciplines.
- Preferably 1-3 years (Analyst) or 3-5 years (Senior Analyst) of hands-on experience in data science and machine learning.
- Curiosity and willingness to learn about medicine and healthcare practices are essential.
- A strong understanding of the mathematical and statistical foundations of machine learning.
- Fluency in Python and/or R.
- Experience in several of the following skill clusters: Data retrieval – knowledge of SQL, REST APIs, Data wrangling – expertise with pandas or similar, Data visualization and dashboards – expertise with plotly, Tableau or similar, Classical machine learning – expertise with scikit-learn or similar, Deep learning – expertise with TensorFlow and/or PyTorch
Benefits