Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Salary:

₹30,600/- per month (Consolidated, as per ICMR norms)


Essential Qualifications:

  • Bachelor’s degree in

    Optometry

    with a minimum of

    three years of clinical experience

    ,
  • OR

  • Master’s degree in

    Optometry (M.Optom)

  • Hands-on experience

    in operating ophthalmic diagnostic instruments including:
  • Fundus Camera
  • Optical Coherence Tomography (OCT)
  • Visual Field Analyzer (VFA)


Desirable Qualifications:

  • Experience in

    clinical data collection

    and patient recruitment
  • Familiarity with

    glaucoma-related parameters

    such as IOP, RNFL thickness, cup–disc ratio, VFI, MD, PSD, etc.
  • Proficiency in

    Microsoft Office Suite

    ,

    Excel

    , and

    basic data processing tools

  • Working knowledge of

    image formats

    (DICOM, JPEG, TIFF) and

    data management software

    used in clinical research
  • Strong understanding of

    ophthalmic imaging principles

    and

    clinical data workflows

  • Ability to collaborate effectively with

    AI researchers, data scientists, and clinicians

    to ensure data readiness for model development


Language Skills:

  • Fluency in English and Hindi

    (mandatory)
  • Proficiency in

    Tamil

    is highly desirable to facilitate patient communication across collaborating centers


Roles and Responsibilities:

1. Data Collection and Imaging

  • Conduct patient data collection for

    open-angle glaucoma (OAG)

    , suspects, and matched controls as per the study protocol.
  • Acquire

    high-quality Fundus, OCT, and Visual Field images

    , ensuring consistency in imaging parameters and quality across study sites.
  • Perform

    basic image quality checks

    and liaise with

    data scientists

    to resolve imaging or metadata inconsistencies.
  • Ensure accurate entry of

    numerical and categorical clinical data

    (demographic, ocular, and systemic parameters).
  • Implement standardized protocols for

    image and data anonymization

    prior to transfer for AI model development.

2. Data Management and Coordination

  • Track

    patient follow-up visits

    for longitudinal data collection and ensure timely and complete datasets across all sites.
  • Coordinate with technical teams to prepare datasets for

    machine learning

    and

    deep learning analysis

    .
  • Assist in maintaining organized digital records and ensure data integrity and version control.

3. Regulatory and Documentation Support

  • Maintain

    confidential study records

    , including consent forms and data logs, for

    audit and review purposes

    .
  • Assist in preparing

    progress reports

    ,

    presentations

    , and

    documentation

    for ICMR and institutional monitoring committees.
  • Schedule meetings,

    record minutes

    , distribute updates


Interested candidates

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