Senior Neuroscientist - Neuroimaging Analysis

Placements24; Klerksdorp; Hybrid; ZAR 1.200.000 - 2.000.000; Vollzeit

Benefits dieser Stelle

Remote work

Professional development

Global collaboration

Zusammenfassung

Placements24 is assisting a prestigious neuroscience research institute seeking a Senior Neuroscientist with a strong emphasis on neuroimaging analysis. This fully remote role involves advanced analysis of fMRI, EEG, MEG data and collaboration with a global team.

The position requires a PhD and at least 5 years of post-doctoral experience in human neuroimaging, with expertise in SPM/FSL/AFNI and Python or R. International collaboration and publication activities are expected.

Qualifikationen

• PhD in neuroscience or related field with strong neuroimaging focus.
• Minimum 5 years post-doctoral or equivalent experience in human neuroimaging analysis.
• Proficiency with SPM/FSL/AFNI and programming in Python or R.

Aufgaben

• Develop and implement advanced analytical strategies for neuroimaging data (fMRI, EEG, MEG, DTI).
• Conduct statistical modeling and machine learning analyses to identify patterns and biomarkers.
• Process and quality control large datasets ensuring data integrity and reproducibility.
• Collaborate with researchers and clinicians on study design and interpretation of findings.
• Mentor junior researchers and contribute to the scientific direction of the group.

Kenntnisse

Neuroimaging analysis

Python

R

Statistical modeling

Machine learning

Data wrangling

Ausbildung

PhD in Neuroscience

Tools

SPM

FSL

AFNI

Jobbeschreibung

About the Role

Our client, a prestigious neuroscience research institute with a global reputation, is seeking an experienced Senior Neuroscientist specializing in neuroimaging analysis to join their innovative team. This role is offered on a fully remote basis, allowing you to contribute to groundbreaking research from anywhere. You will be responsible for the advanced analysis of complex neuroimaging datasets (fMRI, EEG, MEG) to investigate brain function, cognitive processes, and neurological disorders. The position requires a deep understanding of neuroanatomy, neurophysiology, and advanced statistical modeling techniques applied to brain data. You will collaborate closely with a multidisciplinary team of researchers, clinicians, and data scientists, contributing to publications, grant applications, and the development of novel analytical methodologies. This is a unique opportunity to drive significant discoveries in neuroscience through sophisticated data analysis, shaping our understanding of the human brain. As a fully remote role, it emphasizes collaboration, communication, and self-driven productivity.

Key Responsibilities

• Develop and implement advanced analytical strategies for neuroimaging data (fMRI, EEG, MEG, DTI).
• Conduct statistical modeling and machine learning analyses to identify patterns and biomarkers related to brain function and disorders.
• Process and quality control large neuroimaging datasets, ensuring data integrity and reproducibility.
• Collaborate with experimental neuroscientists and clinicians to design studies and interpret findings.
• Contribute to the development of novel computational tools and pipelines for neuroimaging analysis.
• Stay abreast of the latest advancements in neuroscience, neuroimaging techniques, and analytical methods.
• Prepare manuscripts for publication in high-impact scientific journals and present research at international conferences.
• Mentor junior researchers and contribute to the overall scientific direction of the research group.
• Engage in virtual team discussions, project planning, and collaborative problem-solving.
• Ensure adherence to data privacy and ethical guidelines in all research activities.

Requirements

• Ph.D. in Neuroscience, Cognitive Science, Computer Science, Statistics, or a related field with a strong focus on neuroimaging.
• Minimum of 5 years of post-doctoral or equivalent research experience in analyzing human neuroimaging data.
• Proven expertise in analyzing fMRI data using standard software packages (e.g., SPM, FSL, AFNI).
• Strong experience with statistical modeling, multivariate analysis, and machine learning techniques applied to neuroscience.
• Proficiency in programming languages such as Python or R, and experience with relevant neuroimaging libraries.
• Deep understanding of brain anatomy, function, and common neurological/psychiatric disorders.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with a track record of publications.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Experience with EEG/MEG or diffusion MRI analysis is a plus.

Benefits

• Our client offers a highly competitive salary and a comprehensive benefits package tailored for remote employees.
• This includes robust health insurance, retirement savings plans, and generous paid time off.
• Opportunities for professional development, including attendance at virtual conferences and access to online training resources, are provided.
• The remote nature of this position offers unparalleled flexibility and work-life balance.
• Employees are part of a dynamic and collaborative global research community, contributing to significant advancements in neuroscience.
• Our client is committed to supporting its remote workforce with the necessary tools and resources for success.
• This role in Klerksdorp (though remote) is integral to our cutting-edge research.