- Conduct research, design and implement algorithms using statistical methodology, machine learning for analysis of diagnostics data Implement algorithms in suitable high-level programming language
- Collaborate with internal and external partners to translate concepts and algorithms into implementable practical solutions of business relevance
- Advance the state-of-the-art including generating patents and publications in top journals and conferences
- Contribute to the group’s efforts in decisioning sciences in the areas of integrated diagnostics and clinical decision support tools
- Post-graduate degree in Biostatistics/Applied Statistics/Applied Mathematics/Engineering/Sciences with 1 to 2 years of relevant experience
- Strong theoretical and practical knowledge in statistics, mathematics and machine learning
- Demonstrated ability in the application of statistical analysis on large-scale data
- Ability to write scripts in Python, R, Matlab or similar high-level programming languages is required
- Hands-on experience with deep learning frameworks such as Keras, TensorFlow or PyTorch is a plus
- Solid communication and interpersonal skills
- Creative, self-directed, and a team player with an ability to take ownership and accountability of assigned tasks
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