Statistician

6 days ago


Dubai, United Arab Emirates GluCare Full time

**About Us**

GluCare is a technology company disguised as a Diabetes Clinic. We use technology-enhanced services to provide metabolic health service, primarily for diabetes and other endocrinology services as well as common comorbidities.

We are seeking a highly skilled and motivated Statistician to join our GluCare team. As a Statistician, you will play a critical role in analyzing and interpreting complex data related to diabetes management and developing statistical models to support our product development and research efforts.

**Duties & Responsibilities**:

- Analyze and interpret large and complex datasets related to diabetes management, including clinical trial data, patient-generated data, and real-world evidence.
- Develop and implement statistical models and algorithms to analyze and visualize data, identify patterns, correlations, and trends, and generate meaningful insights.
- Provide statistical guidance and support in the planning, design, and execution of clinical trials, observational studies, and other research projects.
- Conduct statistical analysis of study outcomes, including hypothesis testing, regression analysis, survival analysis, and Bayesian analysis.
- Perform power calculations and sample size determination for clinical trials and studies. Evaluate and validate statistical methodologies and models, ensuring accuracy, reliability, and reproducibility of results.
- Present statistical findings and insights to internal teams, stakeholders, and external partners in a clear and concise manner, both orally and in written reports.
- Stay updated with the latest advancements and trends in statistical methods, data analysis techniques, and relevant regulatory requirements in the healthcare industry.
- Contribute to the development and improvement of statistical analysis tools, software, and workflows.

**Qualifications**:

- Proven experience as a Statistician, preferably in the healthcare or life sciences industry.
- Strong expertise in statistical analysis methods, including regression analysis, survival analysis, Bayesian analysis, and experimental design.
- Proficiency in statistical software packages, such as R or Python, and experience with data manipulation, visualization, and analysis.
- Knowledge of statistical modeling techniques, such as generalized linear models, mixed-effects models, and machine learning algorithms.
- Familiarity with clinical trial design, protocols, and regulatory requirements.
- Excellent problem-solving skills and the ability to think analytically and critically.
- Strong attention to detail and the ability to work with large and complex datasets.
- Effective communication skills, with the ability to convey complex statistical concepts to non-technical stakeholders.
- Ability to work collaboratively in a fast-paced startup environment, managing multiple projects and priorities simultaneously.


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