15 Oct
|
Digital Transformation Amrita Kochi
|
Kochi
15 Oct
Digital Transformation Amrita Kochi
Kochi
AIMS Kochi is hiring a Research Assistant for multidisciplinary research in public health, digital health, clinical AI, technology adoption and sustainable community technologies. You will write research manuscripts, run statistical and qualitative analyses, review literature and support grant proposals, working with clinicians, public health researchers, technology professionals and social scientists. You do not need to be an expert in every area.
Research aptitude, quantitative skills, scientific writing and willingness to learn matter most.
Key Responsibilities:
- Write and revise manuscripts for peer-reviewed journals, plus literature reviews, abstracts, conference papers and research reports
- Identify research gaps, frame research questions and hypotheses, and handle peer-review responses
- Conduct statistical analysis: descriptive and inferential statistics, regression, hypothesis testing and multivariable modelling
- Support study design, sampling, questionnaire development, sample-size estimation and statistical analysis plans
- Work with survey, observational, clinical and community-based datasets
- Maintain reproducible workflows, documented code and data-quality checks
- Support qualitative and mixed-methods research: interview and focus-group guides, coding and thematic analysis
- Identify funding opportunities and contribute to grant proposals, budgets, timelines and project reports
- Support research protocols, ethics submissions and informed-consent documentation
- Manage data collection, cleaning and secure data management, and maintain publication trackers
Research Areas: Public health and epidemiology, behavioural determinants of technology adoption, community and sustainable technologies (including drinking-water purification), digital health, EMR, telemedicine, clinical AI and decision support, implementation science, operational analytics, technology acceptance and organisational change.
Required Qualifications:
- Postgraduate degree in Public Health (MPH), Epidemiology, Biostatistics, Psychology, Sociology, Social Sciences, Economics, Allied Health Sciences, Health Informatics, Data Science or a related field
- Sound understanding of quantitative research methods and statistical analysis
- Familiarity with at least one of R, Python, SPSS, Stata or JASP
- Good scientific writing skills and the ability to synthesise peer-reviewed literature
- Interest in academic research, interdisciplinary collaboration and publication
- Able to work independently and manage multiple deadlines
Preferred Qualifications:
- Peer-reviewed publications or manuscript preparation experience
- Advanced quantitative methods (longitudinal or clustered data)
- Qualitative research tools such as NVivo or ATLAS.ti
- Mixed-methods,
questionnaire or survey-based research
- Systematic or scoping reviews
- Grant writing or funded research project experience
- Exposure to digital health, health technology assessment, behavioural science or implementation science
- Experience with clinicians, community organisations or multidisciplinary teams
- Knowledge of research ethics, reproducible analysis and responsible use of AI tools
Ideal Candidate: Comfortable with numbers and statistics, a strong reader and writer, curious about technology adoption in healthcare and communities, open to learning, proactive, detail-oriented, and takes ownership of research outputs.
What You Will Deliver:
- Journal manuscripts, literature reviews and research gap assessments
- Statistical analyses with documented code and publication-ready tables and figures
- Research protocols and questionnaires
- Grant proposals
- Qualitative and mixed-methods outputs
Performance is assessed on output quality, analytical rigour, scientific writing, ownership, and contribution to publications and grants.
How to Apply:
Submit:
- An updated CV
- A brief statement of research interests and fit for the role
- A writing sample, such as a manuscript, dissertation chapter or literature review
- A short description of a quantitative analysis you have done, with methods and tools used
Applicants from other research domains with solid research aptitude are encouraged to apply. Pay: From ₹30,000.00 per month
Work Location: In person
📌 Research Assistant – Multidisciplinary Health, Technology & Adoption Research (Kochi)
🏢 Digital Transformation Amrita Kochi
📍 Kochi