QA Test Engineer, Aidence

Salary not provided

Bash

Linux

Windows

JIRA

REST API

Mid and Senior level

Boston

Remote from Canada

More information about location

AI-powered clinical applications for the lung cancer pathway

Job no longer available

AI-powered clinical applications for the lung cancer pathway

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSMedTech

Job no longer available

Salary not provided

Bash

Linux

Windows

JIRA

REST API

Mid and Senior level

Boston

Remote from Canada

More information about location

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSMedTech

Company mission

To provide AI that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.

Job

Company

Role

Who you are

BS degree or equivalent in computer engineering, computer science, or similar computer technology field
3+ years of experience in software verification and validation
Proficiency in designing, developing, and maintaining test scripts, tools, and solutions
3+ years of experience troubleshooting hardware, software and network problems
Working knowledge of (RedHat, CentOS) Linux and Windows operating systems in a virtual environment
Experience with test management tools (Xray for Jira and TestComplete)
Demonstrable history of BASH scripting
Experience with web-based technologies including Web Services and RESTful interfaces
Ability to analyze test results to isolate a problem’s root causes
Solid planning and organizational skills
Excellent written, verbal, and interpersonal communication skills
Willingness to work as a team player

What the job involves

The QA Test Engineer will be responsible for planning, designing and implementing test cases for DeepHealth’s products, creating test scripts, analyzing results, and documentation
The QA Test Engineer will work closely with software developers, product managers, support engineers and technical writers to uncover anomalies, verify requirements, and validate solutions quickly, efficiently, and in compliance to DeepHealth’s high product standards
Document, develop and execute test plans, strategies, and test cases based on requirements and discussions with project team
Design, develop and implement test scripts for various software components and systems
Perform manual, regression, functional, and performance testing when needed
Coordinate test efforts with outside vendors and internal team members
Capture and analyze test results and document steps for reproducibility
Perform required maintenance on the QA environment
Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors
Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance
Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA
Follows OSHA regulations, RadNet and site protocols, policies and procedures
Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times
Practices universal safety precautions
Promotes good public relations on the phone and in person
Adapts and is willing to learn new tasks, methods, and systems
Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with RadNet guidelines
Consistently adheres to the time management policies and procedures
Completes job responsibilities in a quality and timely manner

Our take

The medical technology market is expected to continue its growth due to innovative technological developments, the increasing pace of population ageing, chronic diseases, and trust in medical devices. And advancements in AI and robotic solutions, cloud-based software and healthcare apps, are likely to boost industry growth in the future.

Radiologists agree that AI is necessary to compensate for the increase in medical images they need to assess. Without AI, the demand for scans would outgrow the human ability to review them timely and accurately. Aidence provides an AI solution for lung nodule detection and management, which helps improve lung cancer prognosis by detecting, measuring, classifying and tracking the growth of pulmonary nodules on patients' chest CT scans.

Aidence was acquired by US radiology firm RadNet in 2022. Its future goals include expanding its products to detect larger masses on chest CTs and using the data collected from scans to provide further insights into the effectiveness of lung cancer treatments.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Mar 2020

$2.3m

GRANT

Feb 2019

$11.8m

SERIES A

Total funding: $16.7m

Company HQ

De Weteringschans, Amsterdam, Netherlands

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