36 Radiology Management jobs in India

Job Purpose

Responsible for:

• Execution of research projects (including approvals, fieldwork, research design, analysis, report writing, hiring, etc.)
• Identification of relevant grants and lead grants writing (content and budgets)
• Support writing of peer-reviewed articles, non-academic white papers, unpublished technical reports, management briefs, opinion and editorial pieces for academicians, practitioners, and policymakers from research projects.
• Coordinating with external stakeholders such as funders, collaborators, government agencies, vendors, consultants, data collection agencies, IRB boards, and industry partners/leaders.

Job Outline

The job holder will carry out the following activities:

Research support and management

• Collaborate with Investigators (PI and Co-PI) on study design, preparation of IRB applications, data collection, analysis, and report writing.
• Lead and support the writing of grant applications, peer-reviewed articles, non-academic whitepapers, unpublished technical reports
• Hire and onboard team members for the effective execution of research activities.
• Manage project timelines and maintain communications with all internal and external stakeholders; Ensure systematic documentation on project history, progress, deviations, and key decisions.
• Assist in preparing detailed budgets and work plans with the finance team, PIs, administrative teams, and external stakeholders for overall grant management.
• Work across projects to flag problems of delays, deviation from research protocols, overspending, data issues, or other threats to the quality and integrity of research activities and recommend solutions.
• Managing briefs, opinion and editorial pieces for practitioners and policymakers.
• Provide support in preparing proposals for external research grants, including narrative documents and budgets.
• Provide support on the management of relationships with philanthropic foundations, international funding agencies, and multilateral donors.

About MIHM

Max Institute of Healthcare Management (MIHM) at the Indian School of Business (ISB) is an interdisciplinary research centre that provides deep insights on healthcare delivery and management to policymakers, public institutions, and corporates, and enables the creation of better health systems through the integrated elements of research, education, and outreach. MIHM’s research is focused on the areas of (a) Public health issues of antimicrobial resistance, mental health and climate change and their intersection with gender, (b) Health system management, (c) Innovation and entrepreneurship, (d) Financing and public policy, and (e) Patient-centricity / health behaviour.

Research at MIHM includes the study of the impact of health system design on population-level health outcomes, the role of incentives in healthcare delivery, application of behavioural economics to promote wellness and healthy behaviour, leadership and change management in healthcare delivery institutions, innovation, and scalability of social ventures in healthcare, and use of technology in creating new models of healthcare delivery. Supporters and collaborators of MIHM include the Bill & Melinda Gates Foundation, London School of Hygiene and Tropical Medicine, Centre for Global Development Europe, National Institute of Nutrition,

PATH, Resolve to Save Lives, The Rockefeller Foundation, Clinton Health Access Initiative, and World Health Partners, among others.

Job Specification

Knowledge / Education

• Postgraduate degree in Economics / Public Policy / Public Health / Health Policy

Specific Skills

• Experience in quantitative research methodologies such as econometric/regression modelling, statistical analysis, simulations, etc. (expertise in at least one of these is mandatory)

• Expertise in tools such as STATA, R, Python (understanding of at least one of these is mandatory)

• Minimum of one year of project management experience, including conducting and supervising research activities (data collection, data management); and supervising research teams

Desirable skills/Experience

• Publications in relevant peer-reviewed journals
• Demonstrated experience in writing project proposals and/or grants
• Ability to prioritize effectively and successfully handle multiple projects simultaneously
• Excellent attention to detail, with a focus on high-quality outputs
• Ability to work independently and problem-solve, as well as enlist the support of relevant research or administrative teams
• Strong written and oral communication skills

Job Interface/Relationships:

Internal

• Within MIHM: Principal Research Scientist (Dr. Deepshikha Batheja), Executive Director (Prof. Sarang Deo), Analysts, Manager, Associate – Admin
• Outside MIHM: Faculty, Finance, Commercials, Legal, LRC

External

• Funders, Vendors, Consultants, Data collection agencies, IRB boards, Government agencies, Industry partners/leaders

Key Responsibilities and % Time Spent

Technical support for research projects (research design, approvals, protocols, data analysis, scientific writing, etc.) - 30%

Management of research teams and stakeholders (hiring, capacity-building, coordination, and communications) - 30%

Identifying relevant grant opportunities and proposal writing (content and budgets) - 30%

Support content creation from research projects - 10%

Total Time Spent on All Responsibilities - 100%

Job Purpose

Responsible for:

• Execution of research projects (including approvals, fieldwork, research design, analysis, report writing, hiring, etc.)
• Identification of relevant grants and lead grants writing (content and budgets)
• Support writing of peer-reviewed articles, non-academic white papers, unpublished technical reports, management briefs, opinion and editorial pieces for academicians, practitioners, and policymakers from research projects.
• Coordinating with external stakeholders such as funders, collaborators, government agencies, vendors, consultants, data collection agencies, IRB boards, and industry partners/leaders.

Job Outline

The job holder will carry out the following activities:

Research support and management

• Collaborate with Investigators (PI and Co-PI) on study design, preparation of IRB applications, data collection, analysis, and report writing.
• Lead and support the writing of grant applications, peer-reviewed articles, non-academic whitepapers, unpublished technical reports
• Hire and onboard team members for the effective execution of research activities.
• Manage project timelines and maintain communications with all internal and external stakeholders; Ensure systematic documentation on project history, progress, deviations, and key decisions.
• Assist in preparing detailed budgets and work plans with the finance team, PIs, administrative teams, and external stakeholders for overall grant management.
• Work across projects to flag problems of delays, deviation from research protocols, overspending, data issues, or other threats to the quality and integrity of research activities and recommend solutions.
• Managing briefs, opinion and editorial pieces for practitioners and policymakers.
• Provide support in preparing proposals for external research grants, including narrative documents and budgets.
• Provide support on the management of relationships with philanthropic foundations, international funding agencies, and multilateral donors.

About MIHM

Max Institute of Healthcare Management (MIHM) at the Indian School of Business (ISB) is an interdisciplinary research centre that provides deep insights on healthcare delivery and management to policymakers, public institutions, and corporates, and enables the creation of better health systems through the integrated elements of research, education, and outreach. MIHM’s research is focused on the areas of (a) Public health issues of antimicrobial resistance, mental health and climate change and their intersection with gender, (b) Health system management, (c) Innovation and entrepreneurship, (d) Financing and public policy, and (e) Patient-centricity / health behaviour.

Research at MIHM includes the study of the impact of health system design on population-level health outcomes, the role of incentives in healthcare delivery, application of behavioural economics to promote wellness and healthy behaviour, leadership and change management in healthcare delivery institutions, innovation, and scalability of social ventures in healthcare, and use of technology in creating new models of healthcare delivery. Supporters and collaborators of MIHM include the Bill & Melinda Gates Foundation, London School of Hygiene and Tropical Medicine, Centre for Global Development Europe, National Institute of Nutrition,

PATH, Resolve to Save Lives, The Rockefeller Foundation, Clinton Health Access Initiative, and World Health Partners, among others.

Job Specification

Knowledge / Education

• Postgraduate degree in Economics / Public Policy / Public Health / Health Policy

Specific Skills

• Experience in quantitative research methodologies such as econometric/regression modelling, statistical analysis, simulations, etc. (expertise in at least one of these is mandatory)

• Expertise in tools such as STATA, R, Python (understanding of at least one of these is mandatory)

• Minimum of one year of project management experience, including conducting and supervising research activities (data collection, data management); and supervising research teams

Desirable skills/Experience

• Publications in relevant peer-reviewed journals
• Demonstrated experience in writing project proposals and/or grants
• Ability to prioritize effectively and successfully handle multiple projects simultaneously
• Excellent attention to detail, with a focus on high-quality outputs
• Ability to work independently and problem-solve, as well as enlist the support of relevant research or administrative teams
• Strong written and oral communication skills

Job Interface/Relationships:

Internal

• Within MIHM: Principal Research Scientist (Dr. Deepshikha Batheja), Executive Director (Prof. Sarang Deo), Analysts, Manager, Associate – Admin
• Outside MIHM: Faculty, Finance, Commercials, Legal, LRC

External

• Funders, Vendors, Consultants, Data collection agencies, IRB boards, Government agencies, Industry partners/leaders

Key Responsibilities and % Time Spent

Technical support for research projects (research design, approvals, protocols, data analysis, scientific writing, etc.) - 30%

Management of research teams and stakeholders (hiring, capacity-building, coordination, and communications) - 30%

Identifying relevant grant opportunities and proposal writing (content and budgets) - 30%

Support content creation from research projects - 10%

Total Time Spent on All Responsibilities - 100%

Job Title: Medical Imaging Engineer

Location: Vapi.

Department: R&D – Surgical Robotics / Imaging Systems

Experience: 3–7 years (preferably in medical imaging or related healthcare domain)

Job Summary:

We are seeking a highly skilled Medical Imaging Engineer to join our cutting-edge team in developing next-generation surgical robotics and imaging solutions. You will play a key role in developing and optimizing algorithms for CT data processing, segmentation, and 3D reconstruction . The ideal candidate will bring deep expertise in medical image analysis, machine learning integration, and clinical workflow alignment to ensure world-class imaging outputs.

Key Responsibilities:

• CT Data Processing & Segmentation:
• Develop accurate and efficient algorithms for anatomical segmentation from CT datasets.
• 3D Reconstruction & Mesh Generation:
• Design pipelines for 3D volume reconstruction and mesh creation for visualization and computational modelling.
• Performance Optimization:
• Improve imaging pipeline performance with algorithmic and code-level enhancements.
• Machine Learning Integration:
• Apply ML models to automate and enhance segmentation and classification tasks.
• Clinical Collaboration & Validation:
• Partner with radiologists and clinical users to validate imaging tools and incorporate real-world feedback.

Required Technical Skills:

• Strong programming proficiency in Python or C++ .
• Hands-on experience with image processing libraries: ITK, VTK, Simple ITK, OpenCV .
• Machine learning frameworks: TensorFlow, PyTorch .
• Experience with medical image data , especially CT .
• Knowledge of 3D mesh processing , smoothing, and surface optimization.
• Familiarity with DICOM formats and PACS systems.

Preferred Qualifications:

• Master’s or Ph.D. in Biomedical Engineering, Medical Physics, Computer Science , or a related field.
• Experience with orthopedic or bone imaging applications.
• Demonstrated research or innovation through published work in medical imaging, computer vision, or similar fields.
• Experience in regulatory-compliant environments (ISO 13485, FDA, CE) is a plus.

Soft Skills:

• Strong analytical and problem-solving capabilities.
• Effective communication and collaboration across interdisciplinary teams.
• Ability to prioritize tasks and manage multiple projects in a fast-paced setting.

Job Title: Medical Imaging Engineer

Location: Vapi.

Department: R&D – Surgical Robotics / Imaging Systems

Experience: 3–7 years (preferably in medical imaging or related healthcare domain)

Job Summary:

We are seeking a highly skilled Medical Imaging Engineer to join our cutting-edge team in developing next-generation surgical robotics and imaging solutions. You will play a key role in developing and optimizing algorithms for CT data processing, segmentation, and 3D reconstruction. The ideal candidate will bring deep expertise in medical image analysis, machine learning integration, and clinical workflow alignment to ensure world-class imaging outputs.

Key Responsibilities:

• CT Data Processing & Segmentation:
• Develop accurate and efficient algorithms for anatomical segmentation from CT datasets.
• 3D Reconstruction & Mesh Generation:
• Design pipelines for 3D volume reconstruction and mesh creation for visualization and computational modelling.
• Performance Optimization:
• Improve imaging pipeline performance with algorithmic and code-level enhancements.
• Machine Learning Integration:
• Apply ML models to automate and enhance segmentation and classification tasks.
• Clinical Collaboration & Validation:
• Partner with radiologists and clinical users to validate imaging tools and incorporate real-world feedback.

Required Technical Skills:

• Strong programming proficiency in Python or C++.
• Hands-on experience with image processing libraries: ITK, VTK, Simple ITK, OpenCV.
• Machine learning frameworks: TensorFlow, PyTorch.
• Experience with medical image data, especially CT.
• Knowledge of 3D mesh processing, smoothing, and surface optimization.
• Familiarity with DICOM formats and PACS systems.

Preferred Qualifications:

• Master’s or Ph.D. in Biomedical Engineering, Medical Physics, Computer Science, or a related field.
• Experience with orthopedic or bone imaging applications.
• Demonstrated research or innovation through published work in medical imaging, computer vision, or similar fields.
• Experience in regulatory-compliant environments (ISO 13485, FDA, CE) is a plus.

Soft Skills:

• Strong analytical and problem-solving capabilities.
• Effective communication and collaboration across interdisciplinary teams.
• Ability to prioritize tasks and manage multiple projects in a fast-paced setting.

Radiographer - Medical Imaging (

Job Number:

 02NUZ)
 

Description

Employment Type: Full Time, Permanent
Classification: Medical Imaging Level 2 (PN 28797)
Salary: $89,134 - $06,625 (Plus 12% Super)
Location: Canberra Hospital, Garran
Section: Medical Imaging
Closing Date: 31st August 2025

What can we offer you: 

• 

Competitive pay rates and excellent working conditions within a tertiary hospital.

• 

Salary Packaging with many options that provide full fringe benefits tax concessions.

• 

Flexible working conditions. 

•

Access to Employee Assistance Program.

•

Access to discounted gym membership.

• 

Access to onsite Physiotherapists.

• 

Onsite cafes, staff cafeteria, pharmacy and gift shop.

• 

Up to $12K reimbursement of re ocation expenses for interstate candidates (subject to review and approval).

About the Role:

The Medical Imaging Department at CHS operates 24 hours, seven days week, providing a wide range of diagnostic imaging services. The service provides state-of-the-art Diagnostic Imaging, Interventional Radiology and Nuclear Medicine services to patients in Canberra and the Southeast Region of NSW. The service is committed to providing patients with contemporary diagnostic and Interventional Radiology, as well as molecular imaging services with a strong commitment to research and training in advancing the use of imaging for diagnosis and treatment of disease.

The MI2 Radiographer position is a clinical role and is responsible for the provision of general radiographer services, providing leadership for the whole department after hours and on weekends. Daily operations include the management of patient scheduling, throughput and care, as well as immediate staff and clinical contact along with the management and operation of General Radiography.

The position is required to support the Medical Imaging Department in the provision of a 24 hour, 7 days a week service. The Department has a 10hr day roster. This includes shift work, overtime and on-call duties outside of normal working hours where required. The position may also be rostered to shifts based outside of the Canberra Hospital precinct and in a remotely supervised capacity (e.g., University of Canberra Hospital and the Weston Creek Imaging Service).

For more information regarding the position duties click here for the Position Description.

Prior to commencement successful candidates will be required to:

• 

Undergo a pre-employment National Police Check.

• 

Comply with Canberra Health Services Occupational Assessment, Screening and Vaccination policy.

• 

Comply with CHS credentialing and scope of clinical practice requirements for allied health professionals.

To Apply: 

Please apply online by submitting a copy of your CV along with a 2-page Response to the Selection Criteria, listed in the Position Description.

***Please note applications submitted via an agency will not be accepted for this position***

Canberra Health Services (CHS) is focussed on the delivery of high quality, effective, person centred care. It provides acute, sub-acute, primary and community‐based health services, to the Australian Capital Territory (ACT) and surrounding region. More information can be found on the CHS website. 

Our Vision : creating exceptional health care together 
Our Role : to be a health service that is trusted by our community
Our Values : Reliable, Progressive, Respectful and Kind

CHS is committed to workforce diversity and to creating an inclusive workplace. As part of this commitment, we welcome applications from all diversity groups. Aboriginal and Torres Strait Islander peoples, people with disability and people who identify as LGBTQIA+ are particularly encouraged to apply.

The new state-of-the-art Building 5 is now officially open at Canberra Hospital. This 44,000sqm, nine-storey facility, the largest healthcare infrastructure project in the Territory’s history, delivers cutting-edge acute clinical services. Building 5 seamlessly integrates with existing campus buildings, ensuring smooth public access, patient transportation, and efficient logistics.

If you would like further information regarding this opportunity, please contact Alexandra Malcolm at (02) 5124 4327 or at .

#LI-DNI

Job

: Allied Health

Salary Range

: 89,134.00 - 106,625.00

Closing Date

: 31/Aug/2025, 1:59:00 PM 

Job Title: Medical Imaging Engineer

Location: Vapi.

Department: R&D – Surgical Robotics / Imaging Systems

Experience: 3–7 years (preferably in medical imaging or related healthcare domain)

Job Summary:

We are seeking a highly skilled Medical Imaging Engineer to join our cutting-edge team in developing next-generation surgical robotics and imaging solutions. You will play a key role in developing and optimizing algorithms for CT data processing, segmentation, and 3D reconstruction . The ideal candidate will bring deep expertise in medical image analysis, machine learning integration, and clinical workflow alignment to ensure world-class imaging outputs.

Key Responsibilities:

• CT Data Processing & Segmentation:
• Develop accurate and efficient algorithms for anatomical segmentation from CT datasets.
• 3D Reconstruction & Mesh Generation:
• Design pipelines for 3D volume reconstruction and mesh creation for visualization and computational modelling.
• Performance Optimization:
• Improve imaging pipeline performance with algorithmic and code-level enhancements.
• Machine Learning Integration:
• Apply ML models to automate and enhance segmentation and classification tasks.
• Clinical Collaboration & Validation:
• Partner with radiologists and clinical users to validate imaging tools and incorporate real-world feedback.

Required Technical Skills:

• Strong programming proficiency in Python or C++ .
• Hands-on experience with image processing libraries: ITK, VTK, Simple ITK, OpenCV .
• Machine learning frameworks: TensorFlow, PyTorch .
• Experience with medical image data , especially CT .
• Knowledge of 3D mesh processing , smoothing, and surface optimization.
• Familiarity with DICOM formats and PACS systems.

Preferred Qualifications:

• Master’s or Ph.D. in Biomedical Engineering, Medical Physics, Computer Science , or a related field.
• Experience with orthopedic or bone imaging applications.
• Demonstrated research or innovation through published work in medical imaging, computer vision, or similar fields.
• Experience in regulatory-compliant environments (ISO 13485, FDA, CE) is a plus.

Soft Skills:

• Strong analytical and problem-solving capabilities.
• Effective communication and collaboration across interdisciplinary teams.
• Ability to prioritize tasks and manage multiple projects in a fast-paced setting.

Job Title: Medical Imaging Engineer

Location: Vapi.

Department: R&D – Surgical Robotics / Imaging Systems

Experience: 3–7 years (preferably in medical imaging or related healthcare domain)

Job Summary:

We are seeking a highly skilled Medical Imaging Engineer to join our cutting-edge team in developing next-generation surgical robotics and imaging solutions. You will play a key role in developing and optimizing algorithms for CT data processing, segmentation, and 3D reconstruction . The ideal candidate will bring deep expertise in medical image analysis, machine learning integration, and clinical workflow alignment to ensure world-class imaging outputs.

Key Responsibilities:

• CT Data Processing & Segmentation:
• Develop accurate and efficient algorithms for anatomical segmentation from CT datasets.
• 3D Reconstruction & Mesh Generation:
• Design pipelines for 3D volume reconstruction and mesh creation for visualization and computational modelling.
• Performance Optimization:
• Improve imaging pipeline performance with algorithmic and code-level enhancements.
• Machine Learning Integration:
• Apply ML models to automate and enhance segmentation and classification tasks.
• Clinical Collaboration & Validation:
• Partner with radiologists and clinical users to validate imaging tools and incorporate real-world feedback.

Required Technical Skills:

• Strong programming proficiency in Python or C++ .
• Hands-on experience with image processing libraries: ITK, VTK, Simple ITK, OpenCV .
• Machine learning frameworks: TensorFlow, PyTorch .
• Experience with medical image data , especially CT .
• Knowledge of 3D mesh processing , smoothing, and surface optimization.
• Familiarity with DICOM formats and PACS systems.

Preferred Qualifications:

• Master’s or Ph.D. in Biomedical Engineering, Medical Physics, Computer Science , or a related field.
• Experience with orthopedic or bone imaging applications.
• Demonstrated research or innovation through published work in medical imaging, computer vision, or similar fields.
• Experience in regulatory-compliant environments (ISO 13485, FDA, CE) is a plus.

Soft Skills:

• Strong analytical and problem-solving capabilities.
• Effective communication and collaboration across interdisciplinary teams.
• Ability to prioritize tasks and manage multiple projects in a fast-paced setting.