Jobs Companies PathAI Implementation Engineer, Digital Diagnostics (DDx)

À propos de ce poste Implementation Engineer, Digital Diagnostics (DDx) chez PathAI

PathAI · Télétravail · Boston, MA or Remote

Who We Are

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.


Where You Fit

We're looking for an Implementation Engineer to join our team and help support our digital diagnostics customers, including our commercially deployed AI product portfolio, clinical trials platform,  and Digital Pathology Image Management System, AISight.  Although experience is important, we weigh a heavy emphasis on cultural fit within the organization, a hunger to learn both our business and customers, and a drive to move us forward in this rapidly evolving industry. We are looking for someone that is well versed in SaaS Implementations, Lab/IT Connectivity Integrations and is well organized, has a sense of drive and an aptitude for learning quickly in a complex space.


What You’ll Do

  • Build and maintain strong relationships with our DDx customers (Anatomic Pathology labs, Academic Medical Centers, Hospital Systems)  and clinical trial managers acting as their primary point of contact during the technical implementation phase of the project
  • Provide hands-on technical implementation support, working with customer IT and internal development teams as needed
  • Provide project management of all implementation tasks, providing schedule updates, resolving risks and issues, and communicating with the customer on a regular basis
  • Language Requirements, Fluent- Spoken and Written :
    • English (Required)
    • Portuguese or French (Preferred)
  • On-Call Support: Support external clients as an application expert/escalation point for our support team. (Including an on-call rotation)


What You Bring

  • 3+ years of experience in a client-facing, SaaS implementation roles
  • Strong analytical skills and operating rigor
  • Experience handling difficult customers or situations and can demonstrate resolutions
  • A strong understanding of our business and products, and an ability to research/self-start in areas that require learning
  • Familiarity with HL7 interface implementation and hands-on experience with market-leading laboratory information systems (Epic Beaker, Novopath, Cerner Millenium etc) is preferred 
  • Travel (<20%)

 

Want To Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. 

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. 

The cash compensation outlined below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets for eligible positions. Certain roles may also qualify for overtime pay. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.

Annual Pay Range:
$48,000 - $73,600

Not Overtime Eligible

 

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À propos de PathAI

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Rigorous science and careful analysis is critical to the success of everything we aspire to do. Our team, comprising of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.

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