
Senior Instructor in Data Science
1 day ago
We are seeking a highly skilled Senior Instructor to join our team in the CITRIC Health Data Science Centre.
The successful candidate will be responsible for developing and implementing data-driven models based on available health data and disease characteristics, with a strong focus on collaboration and mentoring of team members.
This is an exciting opportunity for individuals with a Master's or Ph.D. degree in data science, computer science, statistics, or a related field to lead and manage data science projects, collaborate effectively with multidisciplinary teams, and mentor others in data science methodologies and best practices.
- Lead data science projects, collaborating effectively with multidisciplinary teams;
- Mentor team members in data science methodologies and best practices;
- Develop data-driven models based on available health data and disease characteristics;
- Validate and refine models using historical data and epidemiological patterns;
- Customize models for specific diseases, conditions, situations, and populations;
- Perform simulation runs to model disease spread under various conditions;
- Apply statistical techniques to identify patterns, trends, and risk factors;
- Conduct hypothesis testing to assess associations;
- Disseminate findings through publications, reports, and presentations;
- Supervise and mentor team members in disease modelling and surveillance;
- Conduct workshops on disease modelling techniques and data analysis;
- Review scientific literature on disease modelling trends and methodologies;
- Analyze potential funding opportunities;
- Identify grants aligned with research objectives;
- Prepare grant applications tailored to funding preferences.
To be successful in this role, you will have:
- A Master's or Ph.D. degree in data science, computer science, statistics, or a related field;
- At least three years of progressive experience in leading and managing data science projects, preferably within academic or public health research settings;
- Proven track record of mentoring and training researchers, faculty, and staff in data science methodologies and techniques;
- Strong expertise in machine learning, artificial intelligence, and data modelling;
- Proven experience in data science projects and developing AI models;
- Demonstrated ability to mentor and train others in data science methodologies;
- Proficiency in machine learning, statistical modelling, and artificial intelligence techniques, with a strong understanding of their application in health data analytics;
- Expertise in programming languages such as Python, R, and SQL, along with proficiency in data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, and Seaborn);
- Demonstrated ability to lead data science projects, collaborate effectively with multidisciplinary teams, and mentor others in data science methodologies and best practices;
- Excellent verbal and written communication skills, with the ability to communicate technical concepts effectively to diverse audiences and stakeholders;
- Strong analytical skills with the ability to critically analyze complex datasets, identify patterns, and derive actionable insights;
- Strong communication skills for dissemination through manuscripts, articles, reports, and other publications;
- Familiarity with applying data science techniques to complex datasets, preferably in a health-related context.
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