Ken has over 25 years of experience in Nuclear Project Engineering. Ken joined CurveBeam in 2014 as the Director of Sales for the Southeast Region of the U.S. Ken’s passion is to build strong relationships with and provide imaging solutions.
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We are looking for an individual with a strong focus on data management and data engineering to join the Imaging and Diagnostics team at Curvebeam AI as a Data Engineer.
The role will be fast paced and rewarding; helping build and manage large datasets across internal R&D as well as customer projects.
The individual needs to be excited about working with data and achieving excellent data management; engaged with their work and adaptable to change and managing multiple projects at once. In return, Curvebeam AI offers a superb opportunity for working with some of largest privately held medical imaging datasets in the world with a competitive package.
There are plenty of opportunities for growth on top of routine data management tasks; which could see the role take on more data engineering with cloud computing; or building software tools for working with data.
Responsibilities
· Data management activities including: Data gathering from field machines (travel not required); data curation (moving data into the cloud or internal system), data cleaning, data anonymisation.
· Coordinate Data sharing agreements and managing data access.
· Manage data for projects such as deep learning annotation, clinical research, R&D development
· Develop accurate data annotation pipelines.
· The role allows growth in building and maintaining data engineering infrastructure; specifically with cloud tools on AWS and GCP.
Essential Skills
· Degree in a technical discipline
· Hands on experience with data - ideally large datasets requiring careful management
· Coding experience with a numerical language (python, C++, java, etc)
· Examples of project work involving data management of some kind
Desirable Skills
· Management of medical data and /or regulatory knowledge (HIPAA, GDPR) relating to good data management practice
· Experience with a machine learning stack, for example machine learning modelling, data annotation
· Cloud experience (AWS, GCP)
· A grasp of the challenges of data management in medicine.
· Specific knowledge of medical data, for example the DICOM format, PACS systems
Job Location: Remote (London, UK Hatfield, PA or Seattle, WA are the preferred locations)
To Apply
Email your CV to Stuti Singh (stuti.singh@curvebeamai.com) and Tom Jubb (tom.jubb@curvebeamai.com).
Job Features
Job Category | Application Engineering |
CurveBeam AI, LLC is currently looking for a Technical Support Specialist for its medical imaging devices. Our customer support is key to who we are at CurveBeam AI – we need someone that is able to put the customer first and respond promptly and politely to all customer issues. In this role you would be expected to provide superior first level phone and email support to our customers. Able to troubleshoot both software and hardware issues remotely for our entire line of medical devices. Assist customers with using their device and helping to train them on the use of the software. Open support tickets that are clear and concise for each issue. Perform remote software upgrades. Assist field service people while they are on-site. Ability to travel to customers as needed for on-site support (5-10% of the time, typically within 3 hours drive). As part of a small company, be willing to work on other tasks as they arise.
Skills Required:
Excellent phone etiquette and people skills
Critical thinking to be able to troubleshoot both hardware and software issues
Able to multitask
Extreme attention to detail
Self-motivated
Excellent technical writing skills
Proficient with MS Office applications
Ability to work as part of a team or independently
Excellent organizational skills
Comfortable working in a fast-paced environment
A commitment to high quality
Superior teamworking and critical thinking skills
Bachelor of Science degree in a relevant technical or engineering discipline; or an Associate of Science degree in a relevant technical or engineering discipline and 2+ years of related technical experience.
Job Features
Job Category | Information Technology |