Research Associate; Biostatistics & Clinical Research

Position: Research Associate (Biostatistics & Clinical Research)
About Qure.

AI:

Qure.

AI is an equal opportunity employer. Qure.ai is a leading Healthcare Artificial Intelligence (AI) company disrupting the ‘status quo’ by enhancing diagnostic imaging and improving health outcomes with the assistance of machine-supported tools. Qure.ai taps deep learning technology to provide an automated interpretation of radiology exams like X-rays, and CT scans for time and resource-strapped medical imaging professionals, enabling faster diagnosis and speed to treatment.

Qure.ai aims to democratize healthcare by improving accuracy, accessibility, and affordability to patients worldwide. Founded in 2016, we apply the latest AI research to healthcare problems and develop innovative solutions that are revolutionizing the way patients are diagnosed and treated. Our solutions have impacted more than 38 million lives, deployed in 106+ countries, and 4800+ sites globally. Qure.ai is an equal opportunity employer.

About the job

Job Title:

Research Associate (Biostatistics & Clinical Research)
Department:  Lifesciences

Location:

Mumbai
Years of

Experience:

Minimum 3+ years

Employment Type:

Fulltime
Key Relationships
Director Medical Strategy

Job Description
This role is designed for a skilled professional with a strong foundation in biostatistics who can support end-to-end clinical and health-services research activities. The Research Assistant will contribute to sample size calculations, literature reviews, protocol development, study operations, data management, statistical analysis, and preparation of manuscripts and reports. The position is ideal for someone who enjoys combining analytical expertise with support practical research execution.

Roles and Responsibilities

1. Biostatistical Support
Provide guidance on optimal sample-size estimation, power calculations, and appropriate statistical tests for different study designs.
Perform statistical analyses independently, including descriptive statistics, regression modelling, survival analysis, hypothesis testing, and subgroup analyses.
Develop and maintain statistical analysis plans for various study types.
Conduct diagnostic accuracy metrics such as sensitivity, specificity, PPV/NPV, AUC, Cohen’s kappa, ICC, Bland–Altman plots, etc.

2. Research Design & Protocol Development
Assist in conceptualizing study designs for observational, retrospective, prospective, and RWE-based studies.
Draft and refine research protocols, including sample-size justification, methodology, inclusion/exclusion criteria, outcome definitions, SAPs, and CRFs.
Support development of ethically compliant study documents for IRB/IEC submission.
Contribute to grant applications, background rationales, and study frameworks.

3. Literature Review & Evidence Synthesis
Perform structured and systematic literature reviews using databases like Pub Med, Scopus, Web of Science.
Summarise evidence in a scientific and coherent manner to inform study rationales and publications.
Prepare annotated bibliographies, evidence tables, and background sections for manuscripts.

4. Study Operations & Conduct
Coordinate with internal teams for study execution, clinical sites and investigators.
Support monitoring of site progress, enrolment, data completeness, and adherence to protocols.
Assist in data cleaning, data quality checks, and management of study databases.
Prepare periodic study status reports and dashboards.

5. Manuscript & Report Writing
Draft and contribute to manuscripts, abstracts, posters, and presentations for scientific journals and conferences.
Assist in preparing study results for peer-review publication using appropriate reporting guidelines (e.g., STROBE, CONSORT, TRIPOD).
Support preparation of regulatory and technical reports..

Skills & Expertise

Required Qualifications
Master’s degree in Biostatistics, Public Health, Epidemiology, Bioinformatics, Health Data Science, or related field.
Minimum 3 years of hands-on experience in biostatistics and clinical research.
Strong knowledge of study designs, statistical methodologies, and medical literature evaluation.

Technical Skills
Proficiency in statistical software: R, Python, STATA, or SAS (must)

Experience with data handling tools:
Excel, REDCap,…