CancerIQ is building a next generation cloud software platform aimed to optimize cancer risk prediction, prevention, and treatment, by providing care providers with workflow tools built upon intelligent decision engines and comprehensive data models.
CancerIQ Engineering is looking for curious minds that want to solve problems, write elegant code, and iterate quickly. We are a group of ambitious devs who love all things web and technology.
Significant experience developing web-based applications in production environments is required:
– Strong experience with AngularJS
– Thorough understanding of CSS/HTML and modern page layout techniques
– Experience working with designers cutting up layouts to implement pixel perfect pages
– Experience with responsive layout and design, preferably with Bootstrap framework
– Familiarity with website optimization techniques
– Strong visual design sense and appreciation for developing with a client experience focus
– Clear communicator, both written and oral, and able to work with teams effectively
– Enterprise application development experience
– AngularJS experience is mandatory
– Must have at least 5 years of front-end development experience
– Must be a US Citizen
Our team has modeled proven cancer genetics workflows at top academic centers, and translated them into a suite of digital health tools. Our cloud-based cancer risk clinic “in a box”, helps providers:
- Predict cancer by automatically processing lifestyle, clinical, and genomic data, and identifying patients at higher risk than the general population
- Pre-empt onset by matching patients to care plans with proven outcomes
- Prevent cancer long-term by making personalized prevention programs engaging and social.
Our toolkit comes with:
Screening Surveys – a 8-10 question waiting room survey to identify high risk, follow by a 20-30 minute survey to enhance the full genetic risk assessment.
Reports – a report of personal and genetic risk factors, including visual risk communication aids, evidence-based care options, and follow-up education.
Surveillance and Risk Reduction Plans – a web app designed to help patients navigate options, self-manage cancer risk, and report outcomes