Applied Data Science Specialist
About the role
The Child Mind Institute is dedicated to transforming the lives of children and families struggling with mental health and learning disorders through evidence-based care, educational resources, and training. This position is part of the Center for Data Analytics, Innovation, and Rigor team.
Position Details
You will report to the Technical Project Manager and will design and conduct advanced data analyses and develop machine learning models for use in mental health research. You will perform analyses on large datasets, including cognitive assessments, surveys, and other biometric modalities.
- Chiefly responsible for the design, documentation, and execution of experiments that advance our understanding of data collection and assessment tools in the mental health space, as well as downstream analytic models.
- Perform analyses on large datasets, including cognitive assessments, surveys, and other biometric modalities.
- Design and implement analytical workflows including data preprocessing, feature engineering, model development, scientific analyses, data visualization, and validation.
- 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.
- Write documentation and text for scientific or public dissemination of knowledge and attend and present at meetings.
- Aid in the definition of project and collaboration objectives, tasks, and deliverables at the outset of new efforts, and support ongoing monitoring of progress and alignment.
Requirements
- Bachelor's in Neuroscience, Psychology, Engineering, Computer Science, or equivalent combination of education and experience.
- 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.
- 5+ years of experience including education 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 of experience including education working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
- 3+ years of practical experience designing and developing ML and NLP technologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).
Qualifications
- Experience in designing and developing ML and NLP technologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).
Skills
- Experience in designing and developing ML and NLP technologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).
Benefits
Our great compensation package includes medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.
Pay
The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role).
Contact
If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org.