Job Summary
This role involves conducting pioneering research focused on the development and assessment of machine learning and computational techniques tailored for medical data analysis. The researcher will engage in constructing datasets, designing experiments, analyzing outcomes, and ensuring the maintenance of reproducible workflows. Collaboration with academic faculty, medical professionals, and fellow researchers is fundamental, as is the effective communication of research findings through publications and presentations. Additionally, involvement in crafting proposals, protocols, and mentoring is expected.
Responsibilities
- Conduct original research in machine learning and computational methods related to medical data.
- Prepare datasets and design experimental frameworks.
- Analyze results and uphold reproducibility in workflows.
- Collaborate closely with faculty, clinicians, and other researchers.
- Communicate research outcomes via publications and presentations.
- Contribute to the development of research proposals and protocols.
- Provide mentorship within research teams.
Qualifications
- PhD or equivalent in fields such as computer science, artificial intelligence, biomedical engineering, electrical engineering, applied mathematics, statistics, or a related discipline.
- Strong background in computational and analytical research methodologies.
- Experience in machine learning or medical data analysis.
- Proven track record of scholarly research and publications.
- Proficient in scientific programming, preferably in Python.
- Exceptional communication skills in English, both written and verbal.
- Able to work effectively both independently and as part of a team.
