Juno is ManusAI for controlling medical imaging& diagnostic device GUI

Juno is a fully offline, local-first autonomous AI agent engineered to control and operate medical imaging and diagnostic devices—such as Siemens Healthineers' MRI and CT scanners, hematology analyzers, and PCR machines—with human-like proficiency, powered exclusively by an Embedded System on Module (SoM) AI accelerator. Designed as a "virtual technician," Juno observes device interfaces, reasons over contextual data, and executes actions in a closed-loop system, automating calibration, workflow execution, and optimization without any cloud dependency, internet access, or external APIs. This architecture draws inspiration from agents like ManusAI and Microsoft Copilot's Computer Use Agent (CUA), adapting their observation-reasoning-execution paradigms to treat medical device UIs as controllable "virtual desktops," but confines all processing to edge hardware for compliance with stringent medical safety standards and operational reliability in disconnected environments.

health-tech

Total Open and Closed Positions

Total open positions, and positions newly closed since the previous update

Department Headcount Over Time

Open positions per department · top 6 at any point in the window

Newly Opened and Closed Positions

Position Churn Rate

Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels

Time-to-Fill Distribution

Days from open to close · closed positions only

Salary Trend Over Time

Monthly median base salary · USD · annualized · p25/p75 dashed

Salary Range by Department

Employment Type

Technical vs. Non-technical

Open positions · by department

Top Roles by Department

Seniority Mix

Derived from job title keywords

Equity Range by Department

Top Skills

Top Tech Stacks

Skills Trend

Change in share of postings · recent 3 months vs. prior 3 months

Tech Stack Evolution

Positions opened per month · top 5 technologies