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Activate Interactive Pte Ltd (“Activate”) is a technology consultancy headquartered in Singapore, and with a presence in Malaysia and Indonesia. Our clients benefit from quality, effective, and impactful end-to-end application development, such as mobile and web applications, and cloud technology that reduce technological obstacles and boost their business efficiency.
We strive to positively impact the lives of people and the environment around us through technology use. As such, we're committed to providing a conducive environment for all employees to realize their full potential, who, in turn, get the opportunity to continually drive innovation.
We are seeking a passionate and visionary Lead Data Scientist to direct our data science efforts towards shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis. Your work will contribute directly to improving the population’s health and well-being, reducing healthcare costs, and advocating a proactive approach to healthcare.
As a manager, you will spearhead the company’s technology solutions and research initiatives. You are in charge of leading and managing a team of Data Scientists and Researchers in delivering science and data-driven innovations in preventive health and population wellness. This role demands prior experience in end-to-end solutions deliveries from research to implementation involving Artificial Intelligence, data analysis, Machine Learning (ML), data analysis and statistical modeling.
Roles and Responsibilities:
Data Analysis and Modeling:
- Use advanced statistical techniques, AI, and ML algorithms to analyze complex datasets.
- Develop predictive and prescriptive models to achieve business and commercial goals.
- Identify patterns, trends, and anomalies in data.
- Lead, mentor, and supervise a team of data scientists and researchers.
- Provide guidance and direction for project planning, execution, prioritization, and documentation.
- Foster an innovative and collaborative team culture.
Team Leadership:
Research Strategy:
- Define research objectives, strategies, and roadmaps in line with organizational goals.
- Develop and adhere to clinical research protocols for studies involving human subjects.
- Stay updated with recent developments in data science and research methodologies.
- Identify emerging technologies and tools that can enhance research capabilities.
- Establish research partnerships and collaborations with local and overseas institutions.
Data Collection and Preparation:
- Oversee data acquisition, cleaning, and preprocessing.
- Ensure data quality and integrity to maintain the accuracy of analyses.
- Collaborate with data engineering teams to streamline data pipelines.
Experimentation and Hypothesis Testing:
- Design experiments and conduct hypothesis testing to validate research findings.
- Evaluate the effectiveness of various models and methodologies.
- Implement A/B testing and other statistical methods to drive decisions.
Cross-functional Collaboration:
- Collaborate with consultants, advisors, and internal teams, such as software & hardware solution, sales, marketing, and operations, to address business challenges and commercialization opportunities.
- Provide data-driven recommendations and insights to support decision-making in clinical research projects.
Ethical Data Practices:
- Ensure compliance with data privacy regulations and ethical data handling practices.
- Maintain the security and confidentiality of sensitive data in clinical research studies.
Project Management:
- Manage multiple research projects simultaneously, including resource allocation and timelines.
- Monitor project progress, identify risks, and implement mitigation strategies.
Continuous Improvement:
- Drive process improvements and best practices in data science and research.
- Evaluate and implement new tools and technologies to enhance research capabilities in clinical research studies.
Requirements:
- Advanced degree (Ph.D. or Master's) in a relevant field such as Computer Science, Data Science, Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, or related discipline.
- Several years of experience in artificial intelligence, data analysis, statistical modeling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++.
- Excellent communication and leadership skills.
- Ability to think critically and solve complex problems.
- Deep interest or knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc.
- Experience with clinical trial design, execution, and analysis.
- Previous leadership or supervisory experience, especially in leading a team of data scientists and researchers.
- Proven record of successful project management and delivery of data-driven insights and solutions.
Benefits:
What do we offer?
- Fun working environment
- Flexible benefits
- Employee Wellness Program
Activate Interactive Singapore is an equal opportunity employer. Employment decisions are based on merit, qualifications, and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices based on race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristic protected by law.
Protecting your privacy and the security of your data is a long-standing top priority for Activate Interactive Pte Ltd. Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as otherwise needed in the recruitment and hiring processes.
Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to understand how we collect, use, and transfer the personal data of our candidates. It also explains how you can request access, correction, and/or withdrawal of your Personal Data.
