mpathic

Medical writer

• Design and role-play chat experiences with AI agents across diverse clinical and emotional scenarios
• Perform or simulate characters across ages, backgrounds, severity levels, and emotional states (spoken or written)
• Write dialogue scripts, scenario outlines, or narrative prompts for testing edge cases in mental-health contexts
• Conduct qualitative analyses of conversations to derive taxonomies, personas, and behavioral patterns
• Translate clinical expertise into structured prompt patterns and evaluation rubrics
• Provide expert clinical feedback on internal mental-health policy development
• Collaborate with engineering and research teams to define evaluation metrics for tone, psychological validity, and appropriateness
• Identify and document failure cases, risk signals, and edge behaviors
• Contribute to scenario modeling, red teaming, and rapid experimentation cycles
• Ensure all work adheres to strict confidentiality agreements and NDAs
• Implement quality-assurance protocols for conversation and behavioral analysis
• Participate in review sessions with engineers, researchers, and clinical consultants

Mental Health Writer, Actor – Part-Time

Data Scientist

• Take ownership of data preparation tasks, from querying raw sources to cleaning, transforming, and structuring datasets for robust analysis and model evaluation.
• Design and implement data quality frameworks to ensure integrity, identify anomalies, and handle missing or imbalanced data effectively.
• Analyze AI and LLM-driven outputs using metrics like accuracy, precision, recall, and F1, and perform deep dives into performance trends and errors.
• Translate evaluation results into compelling narratives about model ROI, efficiency gains, and clinical outcomes.
• Build clear and visually engaging dashboards using tools such as Plotly, Matplotlib, or similar frameworks—selecting visualization methods that best communicate results to technical and non-technical stakeholders.
• Collaborate closely with clinical leaders, NLP engineers, and researchers to structure pipelines and QA model outputs for benchmarking and continuous improvement.
• Partner with the research and product teams to support data-driven decision-making in product development, evaluation, and client success.
• Contribute to internal reports, manuscripts, and white papers that turn technical findings into actionable insights.

Applied Data Scientist – Insights & Outcomes

Solutions Engineer

• Lead onboarding for new customers: demo key workflows, guide account setup, and reinforce best practices
• Build strong, trusting relationships with customer teams
• Be proactive and responsive—ensuring customers feel supported and informed.
• Develop and maintain guides, FAQs, and in-app content that helps reduce friction for new users.
• Review usage dashboards and adoption metrics to identify risks and opportunities
• Understand self-serve users through onboarding data, surveys, and usage metrics
• Track adoption metrics and report patterns to Product
• Spot and document onboarding/product gaps for follow-up
• Triage customer questions and requests for onboarding and support.
• Add or update user accounts as needed and explain platform functionality
• Handle straightforward issues and escalate complex issues when needed.
• Work closely with the VP of Product to identify customer pain points and surface feedback
• Contribute to improving internal docs, FAQs, and onboarding guides

Principal Platform Support – Onboarding Engineer

Business Operations

• Drive overall GTM strategy alongside CEO in alignment with company vision and revenue goals.
• Partner with Product and Marketing to define ICPs, value propositions, pricing, and competitive differentiation.
• Standardize processes across Marketing, Sales, Customer Success, and Partnerships for predictability and repeatability.
• Support pricing strategy, deal desk operations, and financial modeling for new business lines.
• Translate strategic priorities into OKRs, budgets, and operational plans.
• Oversee core company metrics and performance dashboards (ARR, churn, burn rate, CAC, LTV).
• Partner closely with the CEO on annual planning, OKRs, and board/investor materials.
• Run leadership meetings, track deliverables, and maintain a single source of truth for company initiatives.
• Lead basic financial planning and analysis (FP&A), including budgeting, forecasting, and cash-flow management.
• Manage expense tracking and vendor negotiations for ROI optimization.

Director of Strategy – Business Operations

Backend Engineer

• Design and implement technical strategy for platform and APIs
• Build AI-powered applications
• Collaborate with cross-functional teams
• Write clean, maintainable code
• Provide technical guidance to junior engineers

Mental Health Writer, Actor – Part-Time

Applied Data Scientist – Insights & Outcomes

Principal Platform Support – Onboarding Engineer

Director of Strategy – Business Operations

Senior Software Engineer, Backend