Post-Doctoral Fellow Data Analytics, Innovation, and Rigor

Our client is seeking a Post-Doctoral Fellow in their Center for Data Analytics Innovation and Rigor (DAIR Center) in New York City.

Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in childrens 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 tomorrows breakthrough treatments.

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 exempt full-time hybrid position requires a minimum of four (4) days per week in the office on a schedule determined by your supervisor in their New York City office.

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.

Qualifications:

• 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.)

Special Considerations:

The anticipated salary range for this position is $60000 - $79000 USD annually.

Our clients competitive compensation and benefits include medical insurance 401(k) paid parental leave dependent care flexible work schedules discounted tickets and entertainment perks programs.

The salary range for the position is posted. Factors such as candidates work experience education/training job-related skills internal peer equity as well as market and business considerations affect the salary offered within this 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.

Our client is an equal opportunity employer and does not discriminate in employment based on race religion (including religious dress and grooming practices) color sex/gender (including pregnancy childbirth breastfeeding or related medical conditions) sex stereotype gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a drivers license issued to persons unable to prove their presence in the United States is authorized under federal law Vehicle Code section 12801.9); ancestry physical or mental disability medical condition genetic information/characteristics marital status/registered domestic partner status age (40 and over) sexual orientation military or veteran status or any other basis protected by federal state or local law or ordinance or regulation.