Senior Project Assistant

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