Machine Learning Research Assistant

Our mission at Talkspace is to help people heal. To get there, we need exceptionally passionate, bright, and motivated individuals. Want to contribute to helping over one million people receive quality mental healthcare? Join our mission of making therapy accessible to everyone!

We are seeking a Machine Learning Research Assistant to join our Research team. This role would be ideal for someone passionate about mental health research and eager to contribute to innovative projects in a purpose-driven environment. To thrive at Talkspace, you need to share our passion for mental healthcare and be excited to collaborate with us in delivering quality services. This role will report to the Research Project Manager.

This a remote, contract role with an estimated workload of 10 - 35 hours per week. Talkspace Headquarters is located in NYC.

What You’ll Do

• The role will involve handling sensitive data, including topics that require empathy and discretion
• Label therapy transcripts, based on rubrics provided by research team, for natural language processing (NLP) and machine learning (ML) models
• Assist in validating and evaluating trained machine learning models using established metrics and testing procedures.
• Build a knowledge base on key topics of interest and importance to future research and product efforts at Talkspace (e.g., natural language processing, machine learning, ML, and product integration) for use in future reviews
• Assist with authorship of publications, when applicable
• Track citations of Talkspace-partnered peer-reviewed research articles
• Provide support to any/all other additional research efforts (e.g. assistance with consenting research participants, conducting assessments, and other data collection) as needed and at the direction of the Machine Learning Team, Research Director, and/or Research Project Manager

About You

• At least one year experience in human subjects research, qualitative data analysis, or an educational background (undergraduate or higher) in psychology, neuroscience or a related discipline. 
• Strong interest in mental health research and a desire to contribute to innovative projects
• Experience or coursework in natural language processing, machine learning, or related fields preferred
• Excellent organizational and time management skills
• Ability to work independently and as part of a collaborative team

Bonus Points

• Previous research experience, including literature reviews and data collection
• Familiarity with academic publishing processes
• Knowledge of research methodologies and statistical analysis techniques

This role is a fit for you if: 

• You are passionate about mental health research and eager to contribute to impactful projects
• You thrive in a collaborative, fast-paced environment
• You are detail-oriented and enjoy working on tasks that require precision and accuracy

Compensation

At Talkspace, we believe that pay transparency during the interview process is a critical part of diversity, equity, and inclusion. Our salary bands are based on internal and external compensation benchmarks, which we regularly evaluate to ensure we pay competitively. The hourly rate for this role is $22 - $27.

Why Talkspace

Talkspace is the world’s leading online therapy company, serving over 2 million users looking to begin their wellness journey through tele-health. According to the World Health Organization, close to 1 billion people worldwide live with a mental disorder, and on average more than 75% with mental, neurological, and substance use disorders receive no treatment for their condition at all. Additionally, one-third of the world’s population – 2 billion people – live in countries that spend less than 1% of their health budgets on mental health. Therapy is an universal need and it's our mission here to change the world by cultivating an intentional space for people to feel supported through quality care that is simple and accessible.

Combining our passion for innovation along with our desire to help others overcome the stigma behind “getting help,” we are transforming the way patients find the right care provider, making an otherwise impossible feat easily conquerable. Our network of licensed, accredited, and board-cer