Data Research (Allied Health Sciences Domain) - Internship

We are looking for a Data Research Intern (Allied Health Sciences Domain) who is passionate about healthcare education, allied health sciences, and higher education research.

The ideal candidate should have strong internet research skills and an interest in collecting, verifying, and organizing information related to allied health science courses, colleges, admissions, entrance exams, eligibility, fees, careers, and placements.

Selected intern's day-to-day responsibilities include: 1. Research and collect information on allied health sciences colleges, courses, admissions, entrance exams, fees, eligibility, careers, and placements.

2. Track and update information on courses such as B.Sc. Nursing, BPT, BMLT, Radiology, Medical Imaging, Optometry, Operation Theatre Technology, Anesthesia Technology, Cardiac Care Technology, and other allied health programmes.

3. Verify information using official college, university, regulatory body, counselling authority, and examination authority websites. 4. Collect and maintain structured datasets covering colleges, courses, fees, eligibility criteria, admission processes, seat intake, cut-offs, and counselling details.

5. Monitor important dates, application deadlines, entrance exam schedules, counselling rounds, and admission notifications. 6. Research and track government and private colleges, universities, medical institutions, and healthcare education providers offering allied health programmes.

7. Prepare and organize datasets using Microsoft Excel or Google Sheets. 8. Support the Content and Video teams by preparing research documents, presentations, and data summaries.

9. Monitor the latest developments, policy changes, admission updates, and trends in allied health sciences and healthcare education. 10. Compare and analyze college and course-level data to identify useful insights for students.

11. Ensure data accuracy, consistency, and completeness before publication. 12. Collaborate with internal teams to deliver high-quality research within project timelines.

Who can apply: Only those candidates can apply who: • are available for full time (in-office) internship • can start the internship between 10th Sep'26 and 15th Oct'26 • are available for duration of 6 months • have relevant skills and interests Stipend: INR₹ 19,999 - 20,000 /month Deadline: 2026-10-10 23:59:59 Other perks: Certificate, Informal dress code Skills required: Presentation skills, MS-Excel, Research and Analytics and Data Extraction Other Requirements: • Required Skills: • 1.

Strong internet research and information verification skills. • 2. Good analytical and problem-solving abilities. • 3. Excellent attention to detail and accuracy.

• 4. Basic knowledge of Microsoft Excel, Google Sheets, and PowerPoint. • 5. Good written and verbal communication skills. • 6. Ability to organize and manage large datasets efficiently.

• 7. Ability to understand and interpret information from official websites and admission brochures. • 8. Quick learner with the ability to work independently and meet deadlines.

• Preferred Qualifications: • 1. Bachelor’s or Master’s degree in Allied Health Sciences, Life Sciences, Healthcare, Nursing, Pharmacy, Physiotherapy, or a related discipline.

• 2. Interest in healthcare education, allied health courses, college admissions, and career opportunities. • 3. Basic understanding of Allied Health Sciences courses, admission processes, entrance exams, and counselling is an added advantage.

• Who Can Apply: • 1. Candidates available for a full-time, in-office internship. • 2. Candidates who can work from the office in Sector 44, Gurugram.

• 3. Candidates available to work from 9:00 AM to 6:00 PM. • 4. Candidates available to work six days a week, Monday to Saturday, with two Saturdays off each month.

• 5. Candidates who can join immediately. About Company: We are a data-enabled and technology-driven education products & services company. Careers360 seamlessly integrates millions of student and institutional data points with the user-generated preferences of its 6 million+ monthly visitors to build sophisticated prediction and recommendation products to enable students to explore and achieve career plans based on their interests and abilities.

From exam preparation to college recommendation, we have 250+ products used by a million students, cover 16000+ colleges, and 300+ courses driven by a 250+ member young team.

Additional information: • Other Details: 1. Working Days: Monday to Saturday (6 days). 2. Working Hours: 9:00 AM to 6:00 PM. 3. Work Mode: Work from office (No WFH).