• Currently pursuing or recently completed a degree in Life Sciences, Biostatistics, Public Health,Pharmacy, Biomedical Engineering, or a related discipline. A clinical background (MBBS /BDS / Nursing) is a strong plus.
• Working knowledge of SQL and Python for data extraction, cleaning, and analysis.
• Familiarity with at least one statistical tool such as R or SPSS for hypothesis testing, regression, and survival analysis.
• Comfortable conducting medical literature reviews on PubMed and synthesising findings into structured summaries.
• Strong analytical mindset with proficiency in Excel / Google Sheets.
• Excellent written communication skills with the ability to produce clear, concise scientific documentation.
• Strong attention to detail, organisational skills, and the ability to manage multiple work streams simultaneously.
• A collaborative attitude with the ability to work effectively in a cross-functional team spanning
• clinical, data, and product functions.
• Genuine curiosity about clinical research, patient outcomes, and the role of AI in healthcare.