Post-Doctoral Fellow - Data Analytics, Innovation, and Rigor

Stone Alliance Group Career Page; New York (NY); On-site; USD 60,000 - 79,000; Full time

Benefits offered by this job

Medical insurance

401(k)

Paid parental leave

Job summary

Stone Alliance Group in New York City is seeking a Post-Doctoral Fellow to lead the development of machine learning models and advanced data analyses focused on multimodal data for mental health research. You will design experiments, document workflows, and contribute to scientific publications in peer-reviewed journals.

The role is full-time, hybrid, with a minimum four days per week in the NYC office, and offers competitive compensation along with benefits such as medical insurance, 401(k),

Qualifications

• PhD in Neuroscience, Psychology, Engineering, CS or similar.
• 4+ years of data analysis and data science fundamentals.
• 4+ years experience in Python/R/Matlab and related toolboxes.
• 2+ years in Linux, GitHub, and Docker environments.
• 2+ years building ML and NLP systems with PyTorch, TensorFlow, SpaCy.

Responsibilities

• Lead the design and execution of research studies with complex analytical workflows including data preprocessing, feature engineering, model development, analyses, visualization, and validation.
• Develop reproducible, scalable, well-documented code and pipelines for high-performance computing with version control (GitHub).
• Apply pre-trained and custom ML/NLP models to research and clinical contexts while ensuring responsible handling of sensitive data.
• Write, submit, and publish research findings in peer-reviewed journals; present at conferences; contribute to grant proposals.
• Mentor graduate students, RAs, and junior staff on methodologies and data analysis techniques.
• Collaborate with interdisciplinary teams to define objectives, timelines, monitor progress, and contribute to strategic discussions.
• Perform additional job-related duties as assigned.

Skills

Data analysis

Machine learning

NLP

Data visualization

Education

PhD in Neuroscience, Psychology, Engineering, CS

Tools

Python

R

Matlab

PyTorch

TensorFlow

SpaCy

HuggingFace

NLTK

GitHub

Docker

Job description

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 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.

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 $60,000 - $79,000 USD annually.

Our client's 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 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.

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 driver's 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.