Research Scientist - Biomedical Imaging & Analysis

Placements24; Cape Town; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary and benefits

Hybrid work arrangement

Conference travel support

Relocation assistance

Job summary

WhatJobs Direct in Cape Town seeks a Research Scientist to advance biomedical imaging and quantitative analysis. You will develop and validate imaging protocols and algorithms in collaboration with clinicians, engineers, and scientists in a hybrid on-site/remote setting.

The role requires a PhD and at least four years postdoctoral experience in medical imaging, plus proficiency in Python, MATLAB or C++. You will contribute to publications, grants, and international conferences.

Qualifications

• PhD required in a biomedical imaging-related field.
• Minimum of 4 years postdoctoral research in biomedical imaging or related area.
• Strong knowledge of image acquisition, processing and analysis techniques.

Responsibilities

• Conduct advanced research in biomedical imaging (MRI, CT, PET, ultrasound).
• Develop and implement novel image processing/analysis algorithms for quantitative tissue assessment.
• Design experiments to validate imaging techniques and analytical models.
• Collaborate with clinicians/radiologists to interpret imaging data and correlate with outcomes.
• Contribute to grant writing, manuscripts, and conference presentations.
• Mentor junior researchers and assist supervision of students/interns.

Skills

Python

MATLAB

C++

Image analysis

Machine learning

Education

PhD in Biomedical Engineering / Medical Physics / Computer Science

Tools

ITK-SNAP

3D Slicer

Fiji/ImageJ

Job description

About the Role

Our client, WhatJobs Direct, is seeking an innovative and dedicated Research Scientist to join their esteemed R&D division in Cape Town, Western Cape, ZA . This role focuses on pioneering advancements in biomedical imaging and quantitative analysis techniques. You will be at the forefront of developing and validating novel imaging protocols and algorithms to enhance diagnostic accuracy and treatment efficacy in various medical fields. Collaborating with a multidisciplinary team of clinicians, engineers, and other scientists, you will contribute to groundbreaking research projects with the potential to significantly impact patient care. This hybrid role offers a dynamic work environment, blending essential on-site laboratory work with remote data analysis and collaboration. We are looking for a highly motivated individual with a strong publication record and a passion for pushing the boundaries of medical technology.

Key Responsibilities

• Conduct advanced research in biomedical imaging, including MRI, CT, PET, and ultrasound, within the Cape Town, Western Cape, ZA hub.
• Develop and implement novel image processing and analysis algorithms for quantitative assessment of biological tissues and disease states.
• Design and execute experiments to validate imaging techniques and analytical models.
• Collaborate with clinicians and radiologists to interpret imaging data and correlate findings with clinical outcomes.
• Contribute to the writing of research grants, manuscripts for peer-reviewed publications, and conference presentations.
• Work with cross-functional teams including engineers for hardware integration and software developers for tool creation.
• Analyze large datasets, perform statistical analysis, and interpret results to draw meaningful conclusions.
• Stay current with the latest advancements in biomedical imaging, AI in medical imaging, and related fields.
• Mentor junior researchers and assist in the supervision of students or interns.
• Maintain detailed records of research activities and experimental procedures.

Requirements

• PhD in Biomedical Engineering, Medical Physics, Computer Science, or a related field with a specialization in medical imaging.
• Minimum of 4 years of postdoctoral research experience in biomedical imaging or a closely related area.
• Strong theoretical and practical knowledge of image acquisition, processing, and analysis techniques.
• Proficiency in programming languages such as Python, MATLAB, or C++ for image analysis.
• Experience with medical imaging software (e.g., ITK-SNAP, 3D Slicer, Fiji/ImageJ) and relevant libraries.
• Demonstrated ability to conduct independent research and a track record of publications in reputable journals.
• Familiarity with machine learning applications in medical imaging is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, essential for a hybrid work model.
• Ability to work effectively both independently and as part of a team in a research setting.

Benefits

• Competitive salary commensurate with experience.
• Hybrid work arrangement offering flexibility and work-life balance.
• Comprehensive health, dental, and vision coverage.
• Opportunities for professional development and attending international conferences.
• Access to state-of-the-art imaging equipment and computational resources.
• Retirement savings plan.
• Generous paid time off and company holidays.
• Collaborative research environment with leading experts in the field.
• Opportunity to contribute to life-saving medical advancements.
• Relocation assistance may be available for exceptional candidates.