Join Our Team
Why Cycle Clarity
Cycle Clarity was created with a passion to improve reproductive healthcare around the world through the use of cognitive computing – one center, one patient, one visit at a time. At Cycle Clarity, you will work with highly motivated and talented people devoted to advancing fertility care. We believe in diversity of backgrounds, experiences, opinions, and expertise to build a strong company.
We are committed to building a solutions based platform focused by vision, doing what’s right, and creating long term value through a team based approach. Join our small and fast-growing team and have a big impact on fertility care.
We have an immediate opening for a full time Integration Specialist at Cycle Clarity. This will required 10 – 14 days of travel per month in cities across the United States. As a MyCycleClarity expert, you will integrate client ultrasound machines and train physicians, ultrasonographers and medical assistants in the acquisition of follicular monitoring ultrasounds.
You will also play a critical role in product support helping centers with challenges using their ultrasound machines by fielding support calls. As with any typical startup you would also help create medical device support literature and videos.
The ideal candidates must have strong interpersonal skills and thrive on multitasking, training on new systems and traveling around the country. You will not be doing ultrasounds yourself but will need to be able to help the ultrasonographers program their ultrasound machines to integrate with our platform.
This position offers a competitive salary with healthcare benefits. Annual bonuses based on customer satisfaction.
Job Type: Full-time, work from home.
Travel: 10 to 14 days per month.
To apply, please send your resume to firstname.lastname@example.org.
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We are a team of physicians, embryologists, computer engineers, data scientists, ultrasonographers, image annotators and biostatisticians dedicated to improving the world of fertility treatment through the application of cognitive computing in healthcare.