Clinical Analyst Intern

We are looking for a curious and detail-oriented Clinical Analyst Intern to join our Clinical / Medical

Affairs team. In this role, you will work closely with clinicians, data scientists, and medical affairs

leads to generate Real World Evidence (RWE) from Dozee's deployments across hospitals, helping

shape clinical decisions, scientific publications, and product direction through rigorous data

analysis and structured documentation.

Roles and Responsibilites

Real World Evidence & Data Analysis

• Analyse de-identified patient monitoring data from hospital deployments to generate Real World Evidence on clinical outcomes, early warning performance, and care-pathway impact.
• Run descriptive and inferential statistical analyses (cohort comparisons, sensitivity / specificity, length-of-stay analyses, time-to-event) using SQL, Python, R, or SPSS.
• Support hypothesis-driven studies in collaboration with clinical leads, contributing to study design, cohort definition, and outcome measurement.

Clinical Research & Literature

• Conduct structured medical literature reviews on PubMed and equivalent databases to

benchmark Dozee's clinical findings against the published evidence base.

• Summarise study protocols, peer-reviewed papers, and clinical guidelines into clear, decision-

ready briefs for the Medical Affairs team.

• Support preparation of manuscripts, abstracts, and conference posters with clean data tables,

figures, and citation management.

Documentation & Reporting

• Create and maintain structured documentation including study protocols, statistical analysis plans, data dictionaries, and final study reports.
• Document data sources, cohort selection logic, exclusion criteria, and analytical assumptions to

ensure reproducibility.

• Build and maintain dashboards that track ongoing clinical KPIs and study-level metrics for

internal review.

Experience

• 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.