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About the Role

As the Post-Doctoral Fellow in the Center for Strategic Data Initiatives, you will lead the development of machine learning models and conduct advanced data analyses, focusing on digital journaling, survey, cognitive, biometric, and/or multimodal data types. You will be responsible for designing, documenting, and conducting experiments to evaluate meaningful signals of mental health derived from multimodal data sources, developing analytical models to evaluate signal validity, and publishing findings in peer-reviewed scientific journals.

Responsibilities

Lead the design and execution of research studies involving complex analytical workflows including data preprocessing, feature engineering, model development, scientific analyses, data visualization, and validation.
Develop reproducible, scalable, well-documented code and pipelines suitable for high-performance computing ecosystems, with version control through GitHub or equivalent repositories.
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, submit, and publish research findings in peer-reviewed scientific journals, present findings at conferences, and contribute to the preparation of grant proposals and funding applications.
Mentor and provide guidance to graduate students, research assistants, and junior team members on research methodologies and data analysis techniques.
Collaborate with interdisciplinary research teams to define project objectives, establish timelines, monitor progress, and ensure successful completion of research milestones while contributing to the intellectual direction of the team through participation in research planning meetings and strategic discussions.
Perform additional job-related duties as assigned.

Requirements

PhD in Neuroscience, Psychology, Engineering, Computer Science or similar domain.
4+ 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.
4+ 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) is required.
2+ years of experience including education working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker).
2+ years of practical experience designing and developing ML and NLP technologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK.)

Skills

Machine learning
Data analysis
Digital journaling
Survey data
Cognitive data
Biometric data
Multimodal data
Data preprocessing
Feature engineering
Model development
Scientific analyses
Data visualization
Validation
Scalable code development
High-performance computing
Version control (GitHub)
Linux environment
Software virtualization (Docker)
ML toolchains
NLP toolchains
Python/R
Matlab
Tidyverse
Scipy
Sklearn
Polars
Pytorch
Tensorflow
SpaCy
HuggingFace
NLTK

Location

NYC headquarters office

Work Type

Full-time
Hybrid

Experience Level

Post-Doctoral Fellow

Education Level

Salary/Compensations

The salary range for the position is posted.

Benefits

Medical insurance
401(k)
Paid parental leave
Dependent care
Discounted tickets
Entertainment perks programs

About the Company

Child Mind Institute is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.

Equal Opportunity

Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity.
We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.
We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.
In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA).
In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).
Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions.
This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.