Careers & Internships

Qritive develops solutions based on AI to make cancer diagnosis fast, cheap, and accurate. Our product is an AI-oriented decision support system for cancer diagnosis that enables doctors process massive amounts of text and image data quickly and accurately. The product helps labs to have faster turnaround times, which means higher chance of survival, as well as reduced costs when patients and their families need help most.

To build the product, we are gathering a team of ambitious, hard working, highly motivated, and talented individuals. Qritive has partnerships with major hospitals in Singapore and South East Asia and over 25 senior pathologists constantly help the company to reach its ambitious goals. Backed by Singapore and US VC funds and the largest hospitals in the region, we aim to establish ourselves as the leaders in cancer diagnosis.

Training team members is our highest priority at Qritive and we focus not just on the technical skills, but also the soft skills required in an agile and nimble startup. We will help you grow in the team and take more responsibilities over time. In return, we expect you to take initiatives, bring cutting-edge technologies to the company, communicate and collaborate effectively with your team, demonstrate a willingness to learn new concepts, and learn to manage a team in the future.

We are always looking for talented and experienced candidates to expand our team. Just fill in this application form and we will get in touch with you quickly.

All positions are on-site and in Singapore.

Computer Vision Engineer/Scientist

>>> Applications for full-time positions will be open again in September 2019 but multiple internship positions are available right now. Internship positions are only available for Singaporeans, permanent residents, or pass holders such as students.

Job description: We are looking for skillful computer vision experts to join us as a core team member and develop innovative solutions based on cutting-edge machine learning and computer vision technologies. You will work with a team of researchers to design, architect, and deploy solutions on our data analytics platform. We're looking for the right individual who has the passion and desire to solve important problems in computer vision applied to healthcare, and particularly, cancer diagnosis. For someone who wants to learn and grow, this role provides the unique opportunity to work along with experts in healthcare and machine learning.

Financial & Health Insurance Benefits:

  • An outstanding compensation package including stock options

  • A comprehensive health insurance plan

We expect you to be:
  • an ambitious and hard-working individual
  • an effective team member and communicate well
  • proficient in Linux and Python
  • experienced in machine learning and computer vision projects
  • experienced in Tensorflow, PyTorch, or other major frameworks
  • familiar with image classification, regression, object detection, and segmentation technologies
  • familiar with traditional image analysis and visualization methods
  • familiar with Git
It's a plus point if you are:
  • experienced in working with medical images
  • familiar with Docker (plus point)

Full-stack Developer/Software Engineer

>>> Applications for full-time positions will be open again in September 2019 but multiple internship positions are available right now. Internship positions are only available for Singaporeans, permanent residents, or pass holders such as students.

Job description: We’re looking for expert full-stack developers to design and implement our web-based data analytics platform. You will be part of the engineering team, responsible for designing the architecture, as well as working on both the frontend and backend of the platform.

Financial & Health Insurance Benefits:

  • An outstanding compensation package including stock options

  • A comprehensive health insurance plan

We expect you to be:
  • an ambitious and hard-working individual
  • an effective team member and communicate well
  • proficient in Linux
  • proficient in using Git
  • proficient in developing REST APIs
  • experienced in building web apps with Python
  • experienced in a modern frontend framework
  • experienced in databases (PostgreSQL, MongoDB, ...)
It's a plus point if you are:
  • familiar with design and implementation of enterprise-grade applications
  • familiar with Automated testing, especially on frontend
  • familiar with Docker
  • familiar with CI/CD