
11 - 50 employees
🏥 Healthcare
💊 Pharmaceuticals
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $5M Seed Round on 2025-11
Healthcare • Pharmaceuticals • Artificial Intelligence
Synthio Labs is an agentic AI company that builds a multimodal, clinical‑grade voice and agent platform for life sciences and pharmaceutical commercial workflows. Its product suite includes voice AI copilots for field teams (Jarvis), voice AI agents for HCP engagement (Ather) and patient support (Helix), Simulation Studio for AI-driven market research/digital twins, Polaris HQ for data intelligence, and Atlas as an AI‑ready HCP 360. The platform emphasizes clinical accuracy, safety and regulatory compliance to enable continuous, compliant conversations and automation across HCPs, patients, field teams, marketing, and commercial operations.
🔥 0 minutes ago
Where this job comes from
Posted on Synthio Labs's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

11 - 50 employees
🏥 Healthcare
💊 Pharmaceuticals
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $5M Seed Round on 2025-11
Healthcare • Pharmaceuticals • Artificial Intelligence
Synthio Labs is an agentic AI company that builds a multimodal, clinical‑grade voice and agent platform for life sciences and pharmaceutical commercial workflows. Its product suite includes voice AI copilots for field teams (Jarvis), voice AI agents for HCP engagement (Ather) and patient support (Helix), Simulation Studio for AI-driven market research/digital twins, Polaris HQ for data intelligence, and Atlas as an AI‑ready HCP 360. The platform emphasizes clinical accuracy, safety and regulatory compliance to enable continuous, compliant conversations and automation across HCPs, patients, field teams, marketing, and commercial operations.
• Work directly with clients and internal teams to implement and customize product solutions for commercial analytics use cases • Translate client business questions into data models, analyses, and product features • Serve as the technical bridge between client teams, product, and engineering • Write and optimize SQL queries to analyze large healthcare and commercial datasets • Conduct exploratory data analysis to identify patterns, opportunities, and insights • Build analytical workflows supporting product capabilities and client needs • Use LLM-based tools and workflows to accelerate data analysis, insight generation, and knowledge extraction • Design prompts and workflows combining structured data with AI-assisted analysis • Support development of AI-enabled analytics features • Translate client feedback into scalable product features • Prototype analytical workflows that may evolve into product capabilities • Contribute to product roadmap discussions based on client usage and market needs • Present insights and recommendations to internal and client stakeholders • Translate complex analytical outputs into clear business implications • Collaborate cross-functionally across product, engineering, and founders
• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Economics, or a related quantitative field • Minimum 2 years of experience in analytics, consulting, data science, or data engineering specifically in Pharma Commercial data • Pharma Commercial data experience is a must-have requirement • Experience working with SQL and structured datasets • Experience with AI ranking • Basic programming skills in Python, R, or similar languages • Exposure to pharmaceutical or healthcare commercial data, including sales, claims, patient-level data, and target lists, is a prerequisite • Familiarity with LLM tools, AI-assisted analysis, or prompt-based workflows is preferred • Understanding of commercial analytics, forecasting, or market access workflows is preferred • Strong analytical and problem-solving abilities • Ability to work in ambiguous, client-facing environments • Strong communication and storytelling with data • Comfort working across technical and business stakeholders
• Autonomy and responsibility to drive projects • Hands-on use of AI tools as part of daily work • Opportunity to shape the product, identity, and culture • Opportunity to work directly with clients and founders • Opportunity to contribute to product roadmap discussions • Opportunity to build AI-driven analytics platforms for life sciences
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