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Experience
2 - 5 Years
Job Location
Education
Master of Science(Statistics), Master of Arts(Statistics), Ph.D/Doctorate(Any, Medical Science), M.Phil
Nationality
Any Nationality
Gender
Any
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
• Lead statistical analysis planning, execution, and interpretation for clinical studies. • Develop and apply advanced modeling techniques, including regression modeling, survival analysis, mixed-effects models, and causal inference methods (e.g., propensity scores, inverse probability weighting). • Design and analyze matched cohort studies and high-dimensional real-world data projects using robust epidemiologic methods. • Collaborate with clinical teams on protocol development, study design, and data analysis and interpretation. • Use R, Stata, and/or Python to build reproducible workflows for data cleaning, analysis, and visualization. • Contribute to the development of risk prediction models and explore AI/ML techniques for selected research questions. • Mentor junior biostatisticians, analysts, and data managers in best practices. • Support manuscript and grant writing with methodological input and statistical reporting.
Desired Candidate Profile
Required Qualifications • Master’s or PhD in Biostatistics, Epidemiology, Data Science, or a related quantitative field. • Minimum 3–5 years of experience working in clinical or health data research. • Experience in matched analysis, causal modeling, or longitudinal data analysis. • Strong expertise in advanced statistical techniques (e.g., GLM, time-to-event modeling, repeated measures). • Proficiency in at least two statistical programming environments (e.g., R, Stata, Python). • Familiarity with large clinical datasets such as EHRs, registries, or administrative databases. • Ability to clearly communicate technical methods and findings to diverse audiences. ________________________________________ Desirable Qualifications • Interest or applied experience in machine learning, AI, or NLP in health-related settings. • Exposure to neural networks, decision trees, or ensemble models using Python libraries (e.g., scikit-learn, XGBoost, PyTorch). • Familiarity with data visualization, reproducibility tools (e.g., Git, R Markdown), or pipeline development. • Experience contributing to peer-reviewed publications or grant applications.
Employment Type
- Full Time
Company Industry
- Pharma
- Biotech
- Clinical Research
Department / Functional Area
- Doctor
- Nurse
- Paramedics
- Hospital Technicians
- Medical Research
Keywords
- Biostatistics
- Clinical Biostatistician
- R Programming
- Data Science Manager
- Statistical Modeling
- Principal Biostatistician
- Statistical Programmer
- Senior Data Analyst
- Lead Data Scientist
- Clinical Data Science
- Data Modeling
- SAS Programming
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Specialist Hospital
Leading hospital and research Centre in the Middles East