Quick Summary
We are looking for a curious and detail-oriented Clinical Analyst Intern to join our Clinical / MedicalAffairs team. In this role, you will work closely with clinicians, data scientists,
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.
- 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.
- 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. - 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.
- 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.
Dozee is India’s leading AI-Powered contactless Remote Patient Monitoring (RPM) and Early Warning System (EWS). A solution that continuously monitors patients and provides early warnings of clinical deterioration, enabling timely interventions and enhancing patient safety in hospitals, nursing facilities and patient homes. A "Made in India for the World" solution, Dozee has pioneered the world’s first non-contact blood pressure monitoring system. Trusted by leading healthcare providers in India, the USA, and Africa, Dozee is transforming patient safety and care by enhancing outcomes and reducing costs.
Dozee is adopted by 300+ hospitals and monitors 16000+ beds across 4 countries. Dozee has monitored over 1 Mn Patients, Delivered 35000+ Life Saving Alerts and Saved 10 Mn+ Nursing Hours.
Dozee Harness AI for Personalised Patient Care
Dozee's AI-Powered System Predicts Patient Deterioration 16 Hours in Advance
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A tertiary care hospital study published in JMIR, validated Dozee’s Early Warning System (EWS), showing it identified 97% of deteriorating patients, provided alerts ~19 hours in advance, and generated 5x fewer alerts, reducing alarm fatigue and improving patient outcomes.
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A study at King George Medical University, Lucknow, and published in Frontiers in Medical Technology demonstrated that Dozee’s automation can potentially save 2.5 hours of nursing time per shift, improving workflow efficiency and allowing more focus on patient care.
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A study on remote patient monitoring in general wards published in Cureus found that 90%+ of healthcare providers reported improved care and patient safety, 74% of patients felt safer, and there was a 43% increase in time for direct patient care.
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Research by Sattva, an independent consulting firm, demonstrates Dozee's substantial impact: for every 100 Dozee-connected beds, it can save approximately 144 lives, reduce nurses’ time for vital checks by 80%, and decrease ICU average length of stay by 1.3 days.
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Forbes India 30 under 30
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Forbes Asia 100 to Watch
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Times Network - India Health Awards 2024 for AI innovation in Bharat Healthcare tech
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BML Munjal Award for Business Excellence using Learning and Development
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FICCI Digital Innovation in Healthcare Award
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Anjani Mashelkar Inclusive Innovation Award
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Marico Innovation For India Award
To know more about life@dozee, click here.
Disclaimer:
Dozee is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.” Dozee does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Dozee will not tolerate discrimination or harassment based on any of these characteristics
Location & Eligibility
Listing Details
- Posted
- May 25, 2026
- First seen
- May 25, 2026
- Last seen
- May 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- May 25, 2026
Signal breakdown
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