
Neurodegeneration Researcher
Há 3 dias
The NDCF Computational Research Fellow will participate in an interdisciplinary training program at a leading research institution, developing and applying computational skills in neuroscience research. The fellow will contribute to analyzing datasets related to neurodegenerative diseases, advancing the understanding of disease mechanisms. This role supports the mission to train researchers in advanced mathematics, data analysis, and bioinformatics for neurodegeneration research.
Job PurposeThe researcher will work under the supervision of a principal investigator or mentor, receiving guidance on research tasks and computational training. The focus will be on developing hands-on experience analyzing neurophysiological, genomic, or imaging data using tools like Python, R, or machine learning frameworks. The fellow will collaborate with researchers, other fellows, and faculty, participating in lab meetings and symposia.
Key Responsibilities- Assist in analyzing datasets (e.g., MRI, genomic, or microbiome data) using computational tools, identifying patterns or biomarkers in neurodegenerative diseases.
- Learn and apply statistical or machine learning methods to support research on disease mechanisms, following lab protocols.
- Support data processing tasks, such as image analysis or sequence alignment, using provided software or scripts.
- Prepare research summaries and present findings at symposia, lab meetings, or conferences.
- Contribute to team discussions, collaborating with lab members to integrate computational and experimental findings.
- Maintain accurate records of research activities and adhere to ethical standards in data handling and reporting.
- Computational Aptitude: Familiarity with programming (e.g., Python, R) or data analysis tools, with a strong interest in learning advanced computational techniques.
- Analytical Thinking: Ability to approach complex datasets with curiosity and apply structured methods to derive meaningful insights.
- Collaboration: Strong interpersonal skills to work effectively in interdisciplinary teams.
- Communication: Clear written and verbal communication to present research progress and engage with scientific audiences.
- Adaptability: Eagerness to acquire new skills and adapt to evolving research tools and methodologies.
- Education: Bachelor's or Master's degree in neuroscience, biology, computer science, bioinformatics, or a related field.
- Experience: Some exposure to programming, data analysis, or neuroscience research through coursework, internships, or personal projects.
- Skills: Familiarity with computational tools (e.g., Python, R, MATLAB, or command-line interfaces) or a strong interest in learning these skills. Introductory knowledge of statistics or data visualization is a plus.
- Other: Demonstrated interest in neurodegeneration research and the ability to work collaboratively.
Internship
Employment typeFull-time
Job functionResearch, Analyst, and Information Technology
IndustriesScientific Research and Development
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