Systems Engineer, Aidence

Salary not provided

AWS

Docker

Kubernetes

GCP

Linux

Terraform

Jenkins

Ansible

Azure

JIRA

Git

Junior, Mid and Senior level

Remote from US

More information about location

AI-powered clinical applications for the lung cancer pathway

Be an early applicant

AI-powered clinical applications for the lung cancer pathway

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSMedTech

Be an early applicant

Salary not provided

AWS

Docker

Kubernetes

GCP

Linux

Terraform

Jenkins

Ansible

Azure

JIRA

Git

Junior, Mid and Senior level

Remote from US

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

Solid knowledge of Linux, networking, security
Public/private cloud, Kubernetes and container orchestration
Linux shell and shell scripting, Linux tool chain installation, upgrade and maintenance
Experience in docker container deployment and troubleshooting
Familiarity with one or more automation tool stack (Such as Terraform, Ansible, ArgoCD, Jenkins etc)
Troubleshooting and performance tuning in Linux and applications
Knowledge of monitoring platforms (Zabbix, GCP/AWS/Azure observability tool stacks)
Knowledge of project management tool chains such as Jira and source code control via Git
Working knowledge of authentication, and secrets management
Knowledge of VPN and tunnels
Best practices for handling Protected Health Information
Knowledge and experience of API, integration and data pipelines
Capacity planning, for both horizontal and vertical scaling on a platform
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
This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking
Also, must be able to lift up to 10 pounds occasionally

What the job involves

This role will focus on the support of imaging production AI infrastructure which will involve some tooling and scripting for automation
This role offers broad exposure to systems and processes while working with other departments to ensure systems meet business needs
This role helps with designing, maintaining, and improving IT systems and networks
Prepare, perform, and maintain customer installations of our advanced AI medical imaging software, ensuring seamless integration with existing IT infrastructure
Gather customer requirements and installation environment details for smooth, efficient deployments
Provide expert technical support to customers and partners, troubleshooting and resolving incidents
Contribute to continuous improvement of the Delivery and Implementation team's workflows, aiming to streamline processes and enhance the customer experience
Be adaptable and available to support customers outside of regular working hours as needed

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

$11.6m

SERIES A

Total funding: $16.6m

Company HQ

De Weteringschans, Amsterdam, Netherlands

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