mpathic is an AI-powered conversation analytics platform designed to enhance communication in healthcare and life sciences. It offers three core products: mTrial (clinical trial quality assurance), mConsult (patient/client engagement optimization), and mPulse (post-market surveillance). mpathic's AI analyzes conversations to identify behaviors that impact outcomes, improving accuracy and reducing costs. The platform prioritizes data privacy and security, adhering to standards like HIPAA and GDPR. It's used by various organizations, including pharmaceutical companies and clinical research organizations, to improve patient safety, trial integrity, and overall communication effectiveness.
• conversation analytics
• ai-powered insights
• data-driven decision making
• regulatory compliance
• empathy measurement
• pharmacovigilance
• clinical trial quality assurance
• patient engagement optimization
mpathic is a technology company and a trusted leader in prompting actionable conversation analytics. The mission is to empower healthcare, life sciences, and client services leaders to deliver exceptional care and engagement. mpathic offerings include mTrial, a quality assurance platform for clinical trials; mConsult, an AI-driven tool for optimizing patient and client engagement; and mPulse, a tool for post-market surveillance and pharmacovigilance. Backed by proprietary machine learning models developed with over 10 years of scientific validation, with up to 7x the accuracy of human doctors, mpathic detects, corrects, and improves more than 90 behaviors, providing an unrivaled level of assurance.
mTrial utilizes advanced AI, enabling flawless execution of clinical trials. By focusing on fidelity and precision, mTrial supports data-driven decision-making aimed at enhancing trial outcomes. In particular, its unique focus on patient safety simplifies management of complex clinical trials.
mConsult represents an AI-assisted tool designed to optimize patient and client engagement. It offers real-time detection of patient interactions and provides generative suggestions, thereby offering immediate feedback that enhances satisfaction and increases positive outcomes.
mPulse serves as a high-tech tool for sophisticated data and trend analysis in post-market surveillance and pharmacovigilance. This technology allows organizations to stay ahead of market trends and maintain data-driven decisions, thereby preserving product safety and regulatory compliance.
mTrial, mConsult, and mPulse prove beneficial to biotech and pharmaceutical companies, clinical research organizations, healthcare professionals involved in clinical trials, and any organization looking to optimize patient or client engagement and satisfaction.
Yes, all offerings from mpathic are designed with features that uphold regulatory compliance in clinical trials, patient-client engagement, and post-market surveillance, respectively.
At mpathic, privacy is highly esteemed. Extensive measures are implemented to ensure the confidentiality and protection of personal data. Strict privacy safeguards are maintained to uphold top-tier security and privacy. A comprehensive privacy policy is available with detailed information regarding the collection, use, sharing, and processing of personal data. For an in-depth grasp of privacy practices, refer to the Privacy Policy section.
Data security at mpathic is primarily shaped by adherence to international data protection laws and regulations, such as the EU and UK General Data Protection Regulation (GDPR). A strong emphasis is placed on safeguarding personal data, and the pride in SOC 2 Type II compliance reflects a commitment to the highest standards of security, confidentiality, and data integrity. More information about data security can be found in the Information Security section.
To certify the robustness and effectiveness of data security measures, annual penetration testing is conducted by an independent third party.
To ensure understanding of privacy and security requirements applicable to protected health information, training is provided during the onboarding process. Any HIPAA-covered PHI is processed using HIPAA-compliant tools selected through a meticulous vendor selection process.
Yes, all sensitive information handled by mpathic is managed in full compliance with SOC 2 Type II standards.
Personal data covered by GDPR is processed using GDPR-compliant tools, which are chosen following a comprehensive vendor selection process.
Techniques are employed to segment data when creating custom models, ensuring the data remains segregated and secure as explicitly outlined in the data use agreement. In addition, there are dedicated and isolated hosting options for enhanced data security.
mpathic processes your data but does not automatically store your data unless requested and agreed upon in writing. Sensitive and personal data is processed using services within Amazon Web Services (AWS), and various approved tools. All data within these systems is encrypted at rest and in transit to ensure it’s safe, secure, and available only to intended recipients. HTTPS encryption is configured for customer web application access.
Before training models with customer data, mpathic obtains prior written consent. Any use of customer data is specified in the data use agreement before implementation.
Clinical Core Manager
AI-powered conversation analytics for healthcare and life sciences, improving communication, accuracy, and efficiency in clinical trials and patient engagement.
Benefits:
100% funded healthcare benefits
Flexible-managed Paid Time Off (PTO)
Funding for training and education
Education Requirements:
Completed a masters or doctoral degree in psychology, counseling, social work or similar with minimum 5 years experience
Experience Requirements:
minimum 5 years experience
Experience with qualitative clinical coding systems in research or clinical practice
Demonstrated history of remote work, telecommuting
Interest in NLP, AI, ML, speech signal processing and other automated systems of assessing human behavior
Experience with report writing for external stakeholders
Other Requirements:
Ability to telecommute (e.g., internet and computer setup)
Previous supervisory experience
Ability to provide constructive and timely feedback
Good organizational skills, attentive to details, and able to multitask
Strong written, verbal, and presentation skills
Comfort or past experience with Excel or Google Sheets and Slack
Tolerates ambiguity and has tools for working through those moments of discomfort
Awareness of the importance of confidentiality and the responsible handling of sensitive data
Seeks out and integrates constructive feedback
Brings knowledge of or active interest in learning about cloud-based machine learning systems, including monitoring and automated training (ML Ops)
Loves all things automation and enjoys figuring out new ways to automate development processes
Responsibilities:
Serve as Gold Standard annotator for all mpathic labeling manuals and maintain reliability with the labeling team
Label transcripts as needed across customers using mpathic’s proprietary system.
Conduct the preparation for and leading of annotation team meetings
Assign and track completion of annotator assignments
Assist in the creation of synthetic data and sourcing data resources for mpathic detections
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Head of Machine Learning
AI-powered conversation analytics for healthcare and life sciences, improving communication, accuracy, and efficiency in clinical trials and patient engagement.
Benefits:
100% funded healthcare benefits
Flexible-managed Paid Time Off (PTO)
Funding for training and education
Responsibilities:
Lead the design, development, and implementation of cutting-edge machine learning models and algorithms focused on NLP and LLM-driven solutions.
Partner with diverse teams, including software engineers, product managers, and domain experts, to define and fulfill project objectives.
Conduct thorough analysis of large-scale and complex datasets to extract meaningful insights and determine applications for LLMs.
Stay current with the latest advancements in NLP, Conversational AI, and LLM technologies to continually enhance our product offerings.
Mentor junior team members, encouraging a culture of innovation, continuous learning, and knowledge sharing.
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Senior Software Engineer (Backend)
AI-powered conversation analytics for healthcare and life sciences, improving communication, accuracy, and efficiency in clinical trials and patient engagement.
Benefits:
100% funded healthcare benefits
Flexible-managed Paid Time Off (PTO)
Funding for training and education
Experience Requirements:
5+ years of experience in software engineering, with a strong focus on backend development using .NET (C#)
Other Requirements:
Hands-on experience with AWS services, architecture, and best practices for cloud-native applications.
Expertise in SQL and NoSQL databases, including schema design and query optimization.
Working knowledge of React and its ecosystem
Responsibilities:
Build robust backend systems using .NET (C#) and other languages.
Design, deploy, and manage scalable applications in AWS, leveraging services like ECS Fargate, DynamoDB, S3, and others.
Work with both SQL (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB) databases to support diverse data needs.
Collaborate with frontend engineers and occasionally contribute to React-based applications.
Write clean, maintainable, and well-documented code, ensuring adherence to best practices and coding standards.
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