Anolytics is hiring for the position of Clinical Data Tagger in Noida, Uttar Pradesh. The role is designed for candidates with a clinical or healthcare background who can review clinical information, apply predefined criteria and provide clear reasoning for data-tagging decisions.
The position involves supporting Artificial Intelligence (AI) development and clinical data annotation projects. Selected candidates will work with audio transcripts and contextual information from senior care and senior living environments to help create and validate datasets used for clinical intelligence systems.
Job Highlights
| Details | Information |
|---|---|
| Company | Anolytics |
| Position | Clinical Data Tagger |
| Department | Healthcare & Life Sciences / Health Informatics |
| Experience | 2–4 Years |
| Location | Sector 59, Noida, Uttar Pradesh |
| Work Mode | Work From Office |
| Employment Type | Full Time, Permanent |
| Shift Timing | 12:00 PM to 9:00 PM |
| Openings | 2 |
| Salary | ₹4.5–6 LPA |
| Role Category | Health Informatics |
| Industry | BPM / BPO |
About the Role
The Clinical Data Tagger will support AI-focused data annotation projects by reviewing audio transcripts and related contextual information from senior care and senior living settings.
The role requires candidates to use clinical understanding and predefined criteria to determine whether a situation or event represents a clinically meaningful presentation. In addition to assigning tags, the candidate will document the reasoning behind each decision.
Accuracy, consistency, clinical judgment and attention to detail are important for this position.
Job Description
Clinical Data Tagger
The selected candidate will work on clinical data annotation and quality-related activities. The work involves interpreting information beyond simple keyword or symptom matching and determining whether the available context supports a clinically relevant interpretation.
The role also includes identifying unclear cases, maintaining consistent tagging standards and providing feedback that can help improve project guidelines and data quality.
Key Responsibilities
- Review audio transcripts and contextual information from senior care and senior living environments.
- Interpret available information using appropriate clinical context.
- Classify examples as clinically valid or not clinically valid according to defined criteria.
- Provide concise and clinically sound reasoning for tagging decisions.
- Distinguish genuine clinical presentations from situations that may appear relevant based only on isolated symptoms or phrases.
- Identify ambiguous, unclear or borderline cases and flag them for further review.
- Identify recurring patterns, inconsistencies and potential data-quality concerns.
- Highlight areas where existing tagging criteria may require clarification.
- Maintain accuracy and consistency across assigned datasets.
- Follow established workflows, guidelines and quality requirements.
- Work independently while maintaining project standards.
- Collaborate with project teams to improve tagging guidelines and data-quality processes.
- Maintain confidentiality and professional standards while handling clinical and senior-care-related information.
Educational Qualification
The source listing states that Any Graduate candidates can apply. However, the role specifically requires a relevant clinical or healthcare background.
Suitable backgrounds may include:
- Registered Nurse / Nursing Professional
- Paramedic or Emergency Medical Professional
- Medical Student
- Recent Clinical Graduate
- Other relevant healthcare or clinical backgrounds
Experience Requirements
The job listing specifies 2–4 years of experience.
Relevant experience in areas such as the following can be advantageous:
- Healthcare
- Senior care
- Emergency or acute care
- Clinical documentation
- Medical data review
- Healthcare AI
- Data annotation
Required Skills
Candidates should have:
- Strong clinical judgment
- Understanding of acute clinical presentations
- Ability to interpret clinical context
- Analytical thinking
- Strong attention to detail
- Good written English
- Clear and logical clinical reasoning
- Decision-making ability
- Ability to identify ambiguity
- Consistency and accuracy in data review
- Ability to follow structured processes and guidelines
- Data-quality orientation
- Ability to work independently
Work Location and Timings
Location: Sector 59, Noida, Uttar Pradesh
Work Mode: Work From Office
Shift: 12:00 PM to 9:00 PM
Candidates should be comfortable working from the office during the specified shift.
Salary / CTC
The advertised salary for the Clinical Data Tagger position is ₹4.5 lakh to ₹6 lakh per annum, as mentioned in the job listing.
Actual compensation may depend on the candidate’s qualifications, experience and the employer’s applicable hiring terms.
Role Expectations
The position requires more than simply identifying individual symptoms or matching keywords. Candidates are expected to understand the available clinical context and determine whether the information supports a clinically meaningful interpretation.
The quality of work will be assessed through the accuracy and consistency of tagging as well as the clarity and clinical reasoning provided for individual decisions.
How to Apply
Interested and eligible candidates can apply for the Clinical Data Tagger position through the recruitment listing for Anolytics.
Candidates should ensure that their resume clearly reflects their relevant clinical, healthcare, medical data review or related experience.
Important Details Before Applying
- The position is based in Sector 59, Noida.
- This is a work-from-office role.
- The shift timing is 12:00 PM to 9:00 PM.
- The listed experience range is 2–4 years.
- The advertised salary range is ₹4.5–6 LPA.
- The role requires a relevant clinical or healthcare understanding despite the listing mentioning Any Graduate under education.
- Candidates should be comfortable working with structured clinical data annotation guidelines.
- Clinical reasoning and documentation quality are important parts of the role.
Frequently Asked Questions
1. What is the position available at Anolytics?
Anolytics is hiring for the position of Clinical Data Tagger.
2. Where is the Clinical Data Tagger job located?
The position is based in Sector 59, Noida, Uttar Pradesh.
3. Is this a work-from-home job?
No. The listing specifies that the position is work from office.
4. What is the experience required?
The listed experience requirement is 2–4 years.
5. What is the salary for the Clinical Data Tagger role?
The advertised salary range is ₹4.5–6 LPA.
6. What are the shift timings?
The specified shift is 12:00 PM to 9:00 PM.
7. What type of background is suitable for this role?
Candidates with clinical or healthcare backgrounds such as nursing, paramedical, emergency medicine, medical studies or other relevant clinical experience may be suitable.
8. What skills are important for this position?
Clinical judgment, analytical thinking, attention to detail, written communication, decision-making, consistency and the ability to interpret clinical context are important for the role.
9. What will the Clinical Data Tagger do?
The candidate will review clinical transcripts and contextual information, classify situations according to defined clinical criteria and document the reasoning behind each tagging decision.
Important Note
Job availability, salary, eligibility requirements, shift timings and other recruitment conditions may change at the employer’s discretion. Candidates should verify the latest details in the original recruitment listing before submitting an application.