Remote Senior Research Scientist - Artificial Intelligence in Healthcare

Placements24; Gqeberha; Hybrid; ZAR 2,490,000 - 3,485,000; Full time

Benefits offered by this job

Competitive salary

Retirement plan

Health insurance

Remote work

Professional development

Job summary

Placements24 is seeking a Remote Senior Research Scientist to lead the design, development, and deployment of AI/ML models for transformative healthcare solutions. You will analyze diverse healthcare data, collaborate with clinicians, and guide research from concept to implementation in a remote-first setting.

You will publish findings, mentor junior researchers, and contribute to ethical, robust AI systems. A PhD and 7+ years in healthcare AI are expected, with cloud experience a plus.

Qualifications

• PhD required in a relevant quantitative field (CS/AI/ML/biomedical informatics).
• 7+ years of AI/ML research experience, with healthcare applications.
• Expertise in TensorFlow, PyTorch, Scikit-learn.
• Strong Python programming and data handling (Pandas, NumPy).
• Experience with diverse healthcare data (EHR, DICOM).
• Solid knowledge of statistics, model evaluation, and experimental design.
• Excellent communication and collaboration, especially in a remote setting.
• Publications in top AI/ML or medical informatics venues.
• Cloud experience with AWS, GCP, or Azure is a plus.

Responsibilities

• Design, develop, and validate advanced AI/ML models for healthcare applications (image analysis, predictive diagnostics, personalized medicine).
• Process and analyze large healthcare datasets (EHR, medical imaging, omics).
• Collaborate with clinicians to translate clinical needs into AI solutions.
• Develop robust data preprocessing and feature engineering techniques.
• Implement and optimize deep learning architectures and ML algorithms.
• Test and validate AI models for accuracy, reliability, and ethical compliance.
• Publish research findings at AI and medical conferences.
• Mentor junior researchers and provide technical leadership.

Skills

Advanced AI/ML research

Python programming

Remote collaboration

Critical thinking

Education

PhD in Computer Science / AI / ML / Biomedical Informatics

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

AWS

GCP

Azure

DICOM

Job description

About the Role

Join our client, a trailblazer in leveraging artificial intelligence for transformative healthcare solutions, as a Remote Senior Research Scientist. This position is ideal for a visionary individual passionate about developing and deploying AI models to revolutionize medical diagnostics, treatment planning, and patient outcomes. Operating fully remotely, you will be at the forefront of innovation, collaborating with a diverse, geographically distributed team of AI experts, clinicians, and data scientists. Your work will directly impact the development of next-generation healthcare technologies, addressing some of the most pressing challenges in the medical field. We are looking for a candidate with a deep technical background in AI/ML, a strong understanding of healthcare data, and a proven ability to drive research projects from concept to implementation in a remote-first environment. This is an unparalleled opportunity to shape the future of healthcare from anywhere in the world.

Key Responsibilities

• Design, develop, and validate advanced AI/ML models for healthcare applications (e.g., image analysis, predictive diagnostics, personalized medicine).
• Process and analyze large, complex healthcare datasets, including electronic health records, medical imaging, and omics data.
• Collaborate with clinical experts to define research questions and translate clinical needs into AI solutions.
• Develop robust data preprocessing and feature engineering techniques.
• Implement and optimize deep learning architectures and other machine learning algorithms.
• Conduct rigorous testing and validation of AI models to ensure accuracy, reliability, and ethical compliance.
• Stay abreast of the latest research and advancements in AI/ML, particularly within the healthcare domain.
• Author high-quality research publications and present findings at leading AI and medical conferences.
• Contribute to intellectual property generation and technical documentation.
• Mentor junior research scientists and provide technical leadership within the team.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Informatics, or a related quantitative field.
• Minimum of 7 years of research experience in AI/ML, with a significant portion focused on healthcare applications.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and common ML libraries (e.g., Scikit-learn).
• Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Demonstrated experience working with diverse healthcare data types (EHR, DICOM, etc.).
• Solid understanding of statistical methods, model evaluation, and experimental design.
• Excellent problem-solving, critical thinking, and analytical skills.
• Exceptional communication and collaboration skills, with a proven ability to thrive in a remote, asynchronous work environment.
• Track record of publications in top-tier AI/ML or medical informatics journals/conferences.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.

Benefits

• This fully remote position offers a highly competitive salary and comprehensive benefits package designed for global talent. This includes a substantial retirement savings plan, performance-based bonuses, and premium health insurance coverage.
• We are committed to fostering continuous learning, providing access to a wide array of online courses, virtual workshops, and support for attending leading remote conferences.
• The flexibility of a fully remote role allows for exceptional work-life integration.
• You will join a globally distributed, highly collaborative team that values innovation and impactful research.
• The work environment is dynamic and intellectually stimulating, focused on solving real-world healthcare challenges.
• Opportunities for career advancement are abundant, with a focus on leadership and specialized expertise within the rapidly evolving field of AI in healthcare.