Posted on: 12 Nov 2026

Location: Bangalore

Employment Type: Contract

Experience: Fresher / Experienced

Job Summary:

Indian medical colleges rarely offer structured, scalable training in dual-process reasoning, cognitive debiasing, and illness script development. Faculty expertise varies and limited protected bedside teaching time worsens inequities in clinical reasoning education. Asynchronous digital tools can standardize high-quality instruction across institutions, but robust multicenter evidence on their effectiveness, feasibility, and acceptability is lacking. This study aims to bridge this critical gap in CBME implementation. ASCRIBE is a 10-module online asynchronous course that teaches diagnostic reasoning (dual-process theory, illness scripts, cognitive debiasing) to Phase III Part 1 MBBS students, built with the ADDIE instructional design model on a secure LMS.

- Design: 10 colleges cluster-randomized by institution, 5 to immediate access and 5 to a waitlist control that crosses over later.
- Sample: 400 students, 40 per college.
- Outcomes: Diagnostic Thinking Inventory (DTI), Key Feature Examination (KFE), rubric-scored AI-assisted case simulations (Kirkpatrick Level 3), LMS learning analytics, and student and faculty perception questionnaires.
- Deliverables: a validated curriculum package, an AI-assisted assessment toolkit, at least two peer-reviewed publications and policy recommendations for CBME

.Salary : Rs.1,04,000/- p.m

No of Vacancy : One

Key Responsibilities:

Academic responsibilities

- Work with the Principal Investigator and the 10-member expert panel to run the Delphi consensus on module topics and content.
- Map ASCRIBE learning outcomes to NMC CBME competencies.
- Review and edit the 10 module scripts, handouts and formative assessments for accuracy,



pedagogy and fit with dual-process theory, illness scripts, debiasing, problem representation and probabilistic test interpretation.
- Help build the blueprint-driven KFE item bank, the digitised DTI, the AI-assisted case scenarios with their scoring rubrics, and the perception questionnaire, including face and content validation.
- Train and orient site coordinators, faculty champions and participating students, and prepare centralised support materials.
- Prepare the final curriculum package, implementation guide and policy recommendations.

Research responsibilities

- Turn the protocol into working SOPs, data collection forms and a study timeline, and keep them current.
- Oversee cluster randomization of the 10 colleges, and recruitment and informed consent of 400 students.
- Coordinate baseline, 3-month and 6-month assessments at every site: DTI, KFE and AI-assisted case simulations.
- Calibrate AI-based rubric scoring against human expert raters and check scoring consistency.
- Extract and audit LMS learning analytics (time-on-task, logins, completion, formative attempts).
- Run data quality assurance: automated validation, periodic audits of LMS logs and assessment data, and follow-up of missing data.
- Maintain the de-identified central data repository with encrypted storage, role-based access and regular backups.
- Work with the biostatistician on the analysis plan: generalized linear mixed-effects models,



latent profile analysis and thematic analysis of open-ended responses.
- Monitor engagement, connectivity problems, attrition and faculty turnover, and apply the agreed mitigation measures.
- Prepare the interim analysis, final report and manuscripts

Administrative responsibilities

- Prepare and track Institutional Ethics Committee submissions and approvals at all 10 sites, and obtain permissions from deans and heads of departments.
- Be the main point of contact between the coordinating centre, site coordinators, the IT and audiovisual teams, ICMR and NMC.
- Schedule and minute project meetings, expert panel meetings and site review visits.
- Track progress against the 36-month implementation plan and flag delays to the Principal Investigator early.
- Prepare progress reports, annual reports and utilisation documents for ICMR, and help monitor the budget.
- Help recruit, supervise and appraise project staff such as site coordinators, technical and data entry staff.
- Arrange procurement and logistics for audiovisual recording, LMS hosting, assessment days and travel. Keep complete study files: approvals, consent forms, SOPs, training logs, correspondence and audit records.
- Protect participant confidentiality and make sure no study activity affects students' academic evaluation.

Eligibility Criteria:

Preferred Qualifications: MBBS, MD, MPH, BDS, BAMS,

Project : ICMR ASCRIBE Project

Age Criteria : 40 Years

Experience : Fresher/Experienced

Preferred Language: English and Kannada

Tentative Date of Joining : 1st December 2026

To Apply: E-mail cover letter and curriculum vitae with 3 references (names and email addresses / phone numbers) by on or before 23rd November 2026 to [email protected] & cc to [email protected]

📌 Project Research Scientist - II (Medical) - ICMR ASCRIBE Project (Bengaluru)
🏢 St. John’s National Academy of Health Sciences
📍 Bengaluru