CueZen's story, narrated by AI
[ai_playlist id="2466"]
Personalization Engine for Health
Personalization Engine for Health
Join us!
Together, let's change a billion lives
We are on a mission to change the way global healthcare programs are designed, delivered and managed. Our AI-based personalization engine is paving the way for behavioral change to drive the right health choices and outcomes.
Your opportunity to lead the change in Global Population Health
We are a growing global team of data scientists, engineers, technologists, clinicians, health care experts and change makers working across USA, UK, Singapore, Australia and India.
We are passionate about creating a world where people can successfully take their personal journeys to wellness. To do that, we need a team of leaders with skills and the drive to change the world. We offer an equal opportunity environment that facilitates learning and enables success.
Come and join us!
Great learning and development opportunities
Open inclusive work environment that encourages autonomy
Unrivaled opportunity to impact health outcomes at population scale
Benefits include flexi time off, parental leave and insurance
Remote work policy
Open Positions
Physician Product leader responsible for digital therapy development across the Diabetes continuum. Clinical and care coordination experience with pre-diabetic, unmanaged diabetes, comorbidities and ESRD.
Physician Product leader responsible for digital therapy development across the OA continuum. Clinical and care coordination experience with pre-op, surgery planning and post-op rehabilitation programs.
Ph.D. in Computer Science and Engineering, Mathematics, or related disciplines. Experience with deep learning frameworks such as Pytorch, TensorFlow, JAX, MXNet. Published and/or presented papers at ACL, AAAI, KDD, NeurIPS or similar top-tier conferences.
PhD or Masters in Statistics, Machine Learning, Applied Mathematics or related field. Programming / scripting experience (Java/Scala, Python, R, Ruby, C#, and/or PHP). Experience in building, deploying and running ML services in Azure and GCP needed.
Ph.D. or master’s in behavioral science or relevant disciplines. Join us on a mission to help improve patient health by applying the latest in behavioral science research to the real world at large scale. You are motivated, understand data wrangling, data science, experiment design, and behavioral design, and have experience applying behavioral science to real-world problems.
Product Manager for health-related data products. Help drive product vision, strategy, and
roadmaps by working closely with Engineering, Data Science, and other stakeholders. You
will ensure that the products and features we build deliver value to us and our customers
as well as ensure they meet the highest security and privacy standards
Software and Data engineers to help us deliver secure, distributed, scalable, cloud native products. We are looking for experienced engineers at all levels. Technologies we currently use include Java, Python, Scala, Kubernetes, Kafka, Spark, Prefect, Azure, etc. Solid software engineering fundamentals, collaborative spirit, willingness to learn and help others are a must.
Master data storyteller who can help us bring health data to life through interactive visualizations and reporting tools. Experience designing visualizations and interactive user interfaces using tools in a cloud environment, preferably Azure. Strong knowledge of data models, databases, scripting, SQL, and ability to collaborate with multiple stakeholders across the globe.
Experienced Senior Mobile Engineer to lead the design and implementation of mobile
applications across the iOS and Android platforms. Unique opportunity to get in on the
ground floor, provide architectural vision, set high standards to deliver an innovative mobile
application in the health space.
Experienced Site Reliability Engineer responsible for designing, implementing, securing and maintaining reliable and scalable cloud infrastructure on Azure. Strong DevSecOps/SRE
mindset with passion and experience designing and building reliable cloud infrastructure
on Azure.
You can email your resume to [email protected] or fill the application form.