Job details
Job type full-time
Full job description
Hate cancer, love ai?
At leica biosystems (lbs), our mission is to advance cancer diagnostics to improve livesIn order to achieve our mission, we have a created a dedicated artificial intelligence and machine learning sbu (strategic business unit), to arm our pathologist customers with new ai tools.
As an ai/ml data engineer – medical imaging, you will be responsible for designing, and managing the data pipeline and infrastructure used to incorporate ai into epathology softwareYou will support a diverse and talented multi-functional team to deliver enterprise software solutions for an emerging clinical market through the entire product development life cycle.
At lbs, we believe “the best team wins”You will be a valued leader of a high-touch technical execution team recognized by the organization as leading the charge in catalyzing the industry’s rapid migration to digital pathology.
Major responsibilities
Develop integrations with external interfaces to support transfer of image data into data archive.
Design scalable, reusable data pipeline architectures, monitoring, and automation
Manage large complex datasets of involving medical images
Set up and manage annotation and data acquisition projects with clinical partners
Design database schemas to organize, archive and retrieve multi-gigabyte image and analytic data
Work with domain experts and ai scientists to define and document annotation protocols
Design interfaces for ai/ml engineers to curate datasets for model development, training, validation, and test
Manage tooling for data versioning, transfer and archival
Required education, experience & skills
4-year engineering/stem degree (computer science, computer engineering) or equivalent industry experience
3+ years’ professional experience designing both sql/nosql databases and one or more oop languages (c#, python)
Experience developing and managing data warehouses on a terabyte or petabyte scale
Experience with various data transfer protocols to move multi-gigabyte files across regions
Working knowledge of distributed systems as it pertains to data storage and computing
Advanced working knowledge of building, optimizing, and managing data pipelines, architectures, and datasets
Desired experience & skills
Healthcare industry experience in regulated diagnostics, samd, or pharmaceutical environment
Familiar working with medical imaging
Experience configuring and managing secure and hippa compliant storage
Industry experience managing data for production grade enterprise software
Experience with containers and iac #li-remote
When you join us, you’ll also be joining danaher’s global organization, where 69,000 people wake up every day determined to help our customers winAs an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful danaher business system tools and the stability of a tested organization.
