Child Mind Institute is looking to solve the problem of transforming the lives of children and families struggling with mental health and learning disorders by analyzing data derived from brain image processing pipelines and other sensors and multi-modal methods.
Requirements
- Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience
- 4+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning)
- 4+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch)
- 3+ years experience in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments
- 3+ year of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker)
Responsibilities
- General-purpose programming and data analysis support for scientific and clinical projects, with a particular focus on brain image processing, handling, digital data organization, data visualization, and multimodal data analysis.
- Perform organization and aggregation of large datasets using high-performance computing infrastructures.
- Contribute to effective, scalable, well-documented code that is suitable for high performance computing ecosystems and shared to GitHub, or equivalent, repositories for version control.
- Apply both pre-trained and custom-made machine learning models and data manipulation pipelines to research and clinical contexts, ensuring the responsible handling of sensitive data.
- Help with scientific literature review, attend and present at meetings, and contribute to peer-reviewed manuscript submissions for publication.
- Ensure data quality, security, and compliance with privacy regulations.
Other
- Master's degree in relevant field
- 4+ years of experience in data analysis and data science
- Ability to work in a hybrid environment (4 days in office, 1 day remote)
- Travel requirements not specified
- Must be eligible to work in the United States
