Applied Data Science Specialist (2257)

Job Description

Job Description

Our client is seeking an Applied Data Science Specialist to join their Center for Data Analytics, Innovation, and Rigor team in New York City.

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager. You will 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, collected using a range of multi-modal methods, including cognitive assessments (both paper-and-pencil and digitized formats), surveys, and other multimodal biometric modalities. You will be chiefly responsible for the design, documentation, and execution of experiments that advance our understanding of both existing data collection and assessment tools in the mental health space, as well as downstream analytic models that seek to apply these measurements.

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 our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization.

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.

Responsibilities:

- 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.

- Perform organization, aggregation, pre-processing, and analysis of large data sets using high-performance computing infrastructures.

- 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.

- Assist with the definition of project and collaboration objectives, tasks, and deliverables at the outset of new efforts, and support ongoing monitoring of progress and alignment.

- Perform additional job-related duties as assigned

Qualifications:

- 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) is required.

- 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.)

Special Considerations:

The anticipated salary range for this position is $96,000 - $120,000 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.