Post-Doctoral Fellow

Job Description

Job Description

About Child Mind Institute

We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health 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.

Position Details

As the Post-Doctoral Fellow in the Center for Data Analytics, Innovation, and Rigor (DAIR Center), you will lead the development of machine learning models and conduct advanced data analyses, with a focus digital journaling, survey, cognitive, biometric, and/or multimodal data types. You will be primarily responsible for designing, documenting, and conducting experiments that evaluate meaningful signals of mental health derived from multimodal data sources, developing analytical models to evaluate validity of these signals, and publishing findings in peer-reviewed scientific journals.

This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor.

You Will

• 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.

You Have

• 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.)

Our Benefits

Our great compensation package and benefits include 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 Range

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), if an authorization is granted to work outside of the location listed in this posting.

#LI-on-site, #LI-hybrid

EEO Disclaimer

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. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at View email address on ziprecruiter.com

This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.