Looking for a Data Science Analyst role supporting Healthcare Analytics workstreams!
We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.
You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.
We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.
You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.
Role & Responsibilities
- Analyze data, Scope out problem definition and hypothesis for analysis for image/signal data (such as EEG, ECG) related use case
- Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and signal data pattern recognition etc.
- Responsible for the exploration of cutting-edge technology in image/signal data related algorithms and ensure the technologies get successfully applied.
- Design experiments to test data assumptions
- Evaluate experiment outcomes to draw actionable conclusions
- Deploy data models across different channels and customer platforms
- Partner with stakeholders to translate business problems into data science projects
- Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
- Maintain an advanced knowledge of trends affecting the industry
- Synthesize findings into actionable insights
- Apply data analysis, data mining and data processing to present data clearly
- Provide rationale, business cases and ROI models to support investment
Requirements
- PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
- Solid research and engineering background and experience in computer vision, deep learning, and image/signal data processing/analysis algorithms.
- Good experience with Python or R is prerequisite
- Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
- Hands on experience in the development of image classification, object detection, segmentation, signal data pattern recognition or related is preferred.
- Good experience with SQL and/or NoSQL is preferred
- Preferably, 3 years of relevant working experience.
- Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means
- Ability to work independently.
- Model deployment experience is preferred.