Senior Data Scientist Post in THSTI via Direct Recruitment
Event Status : Result Declared
Timeline
Important Dates
Application Closing Date | 08/12/2023 |
Application Opening Date | 17/11/2023 |
Other Important Information
Appointment Type | Direct Recruitment |
Application Submission Method | Online |
Age Limit | 18-40 |
Qualification Required | Postgraduate |
Total Vacancies | 1 |
Advertisement Number | THS/RN/40/2023 |
Application Fee | Yes |
Location of Posting/Admission | Faridabad District, Haryana, India, 121002 |
Salary | 100000 |
Age Relaxation Type | SC/ST, Other Backward Class, Person with Benchmark Disabilities, Government Servant/Departmental Candidate, Ex-Servicemen |
Work Experience | Yes |
Place of Posting/Admission | Faridabad, Haryana, India |
Organisation Type | Educational Institution |
Website | https://thsti.res.in/ |
Post Type | Contractual |
Application Link | www.thsti.res.in/career |
Note: This information is common for all posts. For details on specific posts, refer to the official notification.
Posts Released
Important Updates
Refer to the official notification for more details.
Application Summary
Translational Health Science and Technology Institute invites applications for the following post via direct recruitment:
Post Name: Senior Data Scientist
Essential Qualification:
M Tech/MSc or equivalent degree in Computer Science/IT/Biomedical Engineering/Engineering/Medical Electronics/Electronics and Communication/or an Engineering degree where computational analysis methods development was a major component of the degree with at least three years of post qualification experience in data analysis and development of Artificial Intelligence/Machine Learning models for healthcare especially using medical images.
Skills in basic Image processing using opencv and python.
Expertise in coding using libraries like TensorFlow, PyTorch, Matplotlib, Numpy, Pandas, and scikit learn.
Willingness to learn and explore image processing algorithm development.
Desirable:
Development of state-of-the art Multi-task AI models for image segmentation, object detection, and classification.
Development of GUI for the deployment of the AI models in healthcare.
Building automated data management pipelines for capturing and maintaining ultrasound image and video data.
For more details related to eligibility criteria, fee, pattern, annexures, place of posting etc. refer to the attachments below.