
Research Fellow, Translational Neuroscience, Sics
22 hours ago
As a research fellow within the program, you will contribute towards SICS and CERES mission, by using novel, age-appropriate digital tools for monitoring and analyzing mental health and wellness in multiple adolescent populations over the course of the peri-pubertal transition. You will also participate in research meetings, training activities, empirical data collection, software development, analyze data and manuscript preparations. The Research Fellow position will offer unique training opportunities at the interface of neuroscience, mental health, digital technologies and data science. The Fellow will work across multiple disciplines with existing longitudinal cohort data and newly-generated data from both clinical and community settings. The CERES partnership also offers opportunities to interact with research communities in the US and Canada, providing further training experience.
Job responsibilities
- Conduct original analyses of multidimensional, longitudinal data sets in collaboration with ASTAR researchers
- Meet weekly with Reporting Officer/Principal Investigator and join weekly discussions with a group of post-doctorate researchers and PI’s
- Interface and facilitate interactions with multi-disciplinary researchers, Clinical Operations, Data Management, Statistics, and Project Management.
- Partner with scientists in computing and engineering to bring digital solutions into studies of adolescent mental health
- Present findings both orally and in written form via presentations and publication in peer-reviewed journals
- Collaborate with the community the Fellows and PIs across A*STAR.
Job Requirements
- Qualification & Field of Study: PhD in Psychology, Neuroscience, Computer Science, or relevant field
- Minimum Experience: 0-2 years of relevant experience
- Other Requirements (e.g. Skills, Competencies) : Knowledge of statistical software - SPSS, Mplus, Stata, etc, and programming lanaguages, e.g. R, Python, etc, will be considered favorably
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