Data Scientist

6 days ago

Singapore INNOCELLENCE CONSULTING PTE. LTD. Full time

**Responsibilities**:

- Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
- Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
- Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
- Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
- Work closely with cross-functional teams to develop data-driven solutions to address business needs.
- Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

**Requirements**:

- Ph.D. in Computer Science, Statistics, Mathematics, or related field.
- 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
- Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
- Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
- Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.

**Preferred Qualifications**:

- Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
- Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
- Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
- Understanding of clinical trial workflows and regulatory requirements related to digital health.

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