Healogix is seeking a full-time Director, Computational Social & Behavioral Science to join our Behavioral Science Unit.

One of our primary goals is to build advanced behavioral science methodologies that illuminate healthcare decision-making processes—both understanding why decisions occur and anticipating future behavioral patterns—through computational analysis of conversational data, social dynamics, and belief systems. Reporting to Healogix’s Head of Behavioral Science, this position will lead the development and implementation of cutting-edge methodologies that identify linguistic patterns predicting real-world behaviors in healthcare settings.

The ideal candidate will have strong NLP and computational skills combined with deep expertise in social psychology and decision-making processes.

This is a fully remote, U.S.-based position. Healogix is currently unable to sponsor applicants for work visas. All candidates must be authorized to work in the U.S. without need for employer sponsorship.

Key Responsibilities: Your primary role will be working with the Head of Behavioral Science to…

• Lead computational behavioral research initiatives that combine natural language processing with complementary methodologies (Bayesian modeling, social network analysis, hedging models) to understand and predict healthcare decision-making; additionally, support the design and execution of other behavioral research approaches (surveys, experiments, interviews) to provide holistic insights into healthcare decision-making

• Build and implement scalable NLP systems for analyzing conversations across platforms like Reddit, patient forums, and social media to extract behavioral insights from large volumes of healthcare-related conversational data

• Support strategic business development and client engagement efforts by presenting research findings, contributing to proposals, participating in client meetings, and demonstrating thought leadership (both internally and externally, e.g., at industry conferences)

• Translate complex behavioral insights derived from computational analysis into actionable client recommendations and strategic guidance

Experience/Position Requirements

Required Qualifications

• Graduate degree (i.e., M.A./M.S., Ph.D.) within a computational social science discipline including but not limited to Psychology, Cognitive Science, Computational Linguistics, Sociology, or related fields
• 5+ years of applied NLP research experience in academic, commercial, or clinical settings
• NLP for analyzing interview transcripts
• Text preprocessing techniques including lemmatization and tokenization
• Sentiment analysis to detect emotions in narratives
• Topic modeling to identify key themes in qualitative data
• Keyword extraction to find decision triggers
• Advanced proficiency in Python, R, and modern ML/NLP frameworks (e.g., PyTorch, Transformers, spaCy, NLTK)
• Hands-on experience with social media APIs, web scraping, and processing large-scale unstructured text datasets
• Background in health behavior theory (e.g., Health Belief Model, COM-B, Theory of Planned Behavior)
• Strong background in statistical analysis, experimental design
• Exceptional presentation skills with experience communicating complex technical concepts to non-technical executives
• Strong data visualization skills
• Excellent problem-solving and debugging skills; excellent documentation and communication skills
• Intellectual curiosity and strategic vision—we're seeking a research innovator who will serve as a thought partner in advancing our Behavioral Science capabilities and developing cutting-edge methodologies

Nice-to-Haves

• Multilingual NLP capabilities for global healthcare market research application
• Prior implementation of sequential analyses
• Experience with Bayesian belief updating models and probabilistic reasoning for behavioral prediction
• Expertise in hedging models and uncertainty quantification for conversation-based behavioral forecasting
• Advanced social network analysis expertise, including influence mapping, community detection, and viral conversation patterns
• Experience with longitudinal behavioral studies and predictive modeling for health outcomes
• Strong publication record in peer-reviewed outlets
• Previous consulting or client-facing experience in marketing, UX, insights and related fields

Skills/Attributes

• Willing to share new ideas and receive feedback on them as a thought leader and strategic partner
• Passionate about collaborating with, and mentoring others (internal, external stakeholders), to understand complex ideas, methods, and outputs
• Strong interest in understanding decision-making dynamics among physicians, patients, and other healthcare providers through computational methods
• Excels at building and scaling research methodologies in a growing organization
• Proactive, flexible, and solution-oriented with ability to see around corners
• Ability to operate both autonomously and within a collaborative team environment
• Analytical and logical thought process with business sophistication
• Detail-oriented with focus on research reproducibility and model validation
• Ability to manage multiple priorities simultaneously while maintaining scientific rigor
• Energized by ambiguous, complex problems and creating novel solutions

If you don't meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role. Strong computational methods experience is required, but we're open to candidates from adjacent fields (computational linguistics, cognitive science, data science, machine learning) who can demonstrate transferable skills to behavioral science research applications.

We welcome applicants at various career stages, including newly-minted Ph.D.s, those with post-doctoral experience, or those with equivalent industry expertise. Whether your background is primarily academic research, industry applications, or a hybrid approach, those with a strong computational background are encouraged to apply.