NLP Research Intern at Talkspace in Remote

Summary: Talkspace is the world’s leading online therapy company, committed to making mental healthcare accessible to all. The NLP Research Intern will develop a computational framework using Natural Language Processing to analyze therapeutic dynamics and produce peer-reviewed clinical evidence. Responsibilities: - Build and refine tools for model training, and evaluation specifically for conversational data - Design and apply methods for keyword/topic extraction, emotion/sentiment identification, and text summarization to de-identified transcripts - Analyze conversational dynamics to determine which patterns correlate with patient engagement, adherence, and clinical improvement - Assist in translating clinical research questions into machine learning workflows - Apply the NLP framework to specific demographic cohorts (e.g., veterans, teens, women) to identify unique therapeutic needs - Synthesize complex technical methodologies and findings into academic-quality manuscripts - Prepare at least one manuscript for submission to a top-tier peer-reviewed journal (e.g., Nature Digital Medicine or JMIR) - Implement best practices in AI ethics and bias mitigation - Maintain clean, documented code following best practices for reproducibility and sharing Required Qualifications: - Currently pursuing a PhD or Master's in Computer Science, Computational Linguistics, Data Science, or a related Engineering discipline - Strong proficiency in Python and SQL, with experience in NLP libraries - Familiarity with deep learning frameworks and LLM fine-tuning/prompt engineering - Proven track record of research, evidenced by at least one peer-reviewed publication or workshop paper in a relevant venue - Understanding of healthcare data privacy (HIPAA) and a commitment to identifying and mitigating bias in AI models - Ability to articulate complex technical methodologies clearly for both technical and non-technical (clinical/business) audiences Preferred Qualifications: - Experience with cloud-based environments (AWS) is a plus Required Skills: Natural Language Processing, Python, SQL Important Skills: Deep Learning Frameworks, Cloud-based Environments, Healthcare Data Privacy Nice-to-Have Skills: Research Publication, Bias Mitigation