Join the AI Revolution
Work with the best medical AI team in Southeast Asia
Work with the best medical AI
team in Southeast Asia
Why Perceptra?
Make a Difference
Help millions of people access high-quality diagnosis, save lives, and create meaningful impact.
Innovate
Take part in a fast-growing startup in the fascinating industry of health tech, work in an enriching and exciting environment.
Accelerate your Growth
Immerse in the culture of continuous learning, create AI-first products alongside a team of fun and talented people.
Perks
Hybrid Office
Work from home 1-3 days per week
Flexible Schedule
Adopt your own hours
Employee Stock Options
Own your work
Life & Health Insurance
competitive medical coverage
Annual Retreat
Team Building Trips
Macbook
Available for everyone
Flexible Vacation
No need to wait for long weekends
Unlimited Online Courses
Continuous self improvement
Current Openings
Perceptra is on a mission to revolutionize radiology with our artificial intelligence
platform, which has now been launched into over 80+ medical centers in 3 countries.
We are looking for extraordinary talents to join our industry-leading team.
Technical Support Engineer
Roles and Responsibilities
- Be the interface between Perceptra’s tech team, customers, and partners in solution delivery projects.
- Maintain a detailed technical understanding of our AI solution and design the right solution architecture that fits customers.
- Lead, design, and implement technical integration efforts with Perceptra’s customers.
- Ensure that Perceptra’s quality of service is aligned with the medical industry’s standard in terms of security and interoperability.
- Communicate with customers facing technical issues and lead the team to fix bugs swiftly.
- Improve Perceptra’s solution delivery process.
See full job post
Research Assistant (Medical Image)
Roles and Responsibilities
- Learning the basics of radiology (no prior experience required) – learn how to spot interesting features in x-ray images.
- Annotate data related to medical images such as chest x-ray and digital mammography images per instructions from senior staff.
- Occasionally, you will be learning to read medical reports and classify reports using in-house software.
- Recheck, verify, quality control the labels and reports.
- Compare and contrast results from AI and doctors to verify algorithms’ results and spot mistakes.
- Work in sync with the team to meet individual deadlines, daily and weekly goals.
- Occasionally work with a multidisciplinary team of medical doctors, engineers, and designers for insights to improve the labeling processes.
See full job post
Sales Representative (Greater BKK)
Roles and Responsibilities
- Generate and evaluate leads from prospect list
- Nurture leads by educating and supporting leads with sale documents
- Drive adoption to meet or exceed quarterly and annual revenue targets
- Gather customer requirements and summarize in electronic report on a weekly, monthly, and quarterly basis
- Services existing accounts, follow up to renew subscription, and establishes new accounts by planning and organizing weekly work schedule to call or meet existing or potential customers
- Provide customers quotation by referring to price lists and product literature.
- Maintain a robust sales pipeline including opportunities in existing accounts as well as driving net new business in untapped customers
- Adjusts content of sales presentations by studying the product features and use cases
- Keeps management informed by submitting activity, results reports and CRM status. (such as daily call reports, weekly work plans, and monthly and annual territory analyses)
- Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.
- Assist teams on any necessary agreement and accounting process.
See full job post
Junior ML Engineer
Roles and Responsibilities
- Analyze and improve the performance of AI models by:
- Adding updated training samples and annotations to the training dataset
- Applying state-of-the-art architectures, modules, or learning methods, that are presented in recent computer vision or deep learning papers.
- Utilizing advanced image processing techniques to improve the generalization performance of AI models.
- Apply coding skills to:
- Analyzing and improving the efficiency, scalability, and stability of training, validation, and inference pipeline
- Adapting the training pipeline to best exploit modern parallel environments such as distributed clusters
- Research, design and develop deep learning and computer vision algorithms to detect a wide variety of medical conditions from image and textual data.
- Support internal large-scale inference activities.
- Fast prototyping of AI models for new medical problems.
- Investigate problems with models during the product development and after product launch.
- Perform unit testing and integrated tests to support accurate and high-performance productions of AI models.
- Read and implement algorithms publications in the field of deep learning and computer vision, as well as publish your own work, and contribute to the community via conferences/meetups etc.
- Perform analytic tasks. For example, analyzing models’ usability from the user experience standpoint, performing statistical tests to convey models’ usefulness to medical professionals
- Participate in long term research efforts, and build excellence in the field of deep learning for imaging data. Keep yourself up to date with the latest practice.
- Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team.
See full job post
Join the AI Revolution
Work with the best medical AI team
in Southeast Asia
Join Us
Why Perceptra?
Make a Difference
Help millions of people access high-quality diagnosis, save lives, and create meaningful impact.
Innovate
Take part in a fast-growing startup in the fascinating industry of health tech, work in an enriching and exciting environment.
Accelerate your Growth
Immerse in the culture of continuous learning, create AI-first products alongside a team of fun and talented people.
Current Openings
Perceptra is on a mission to revolutionize radiology with our artificial intelligence
platform, which has now been launched into over 80+ medical centers in 3 countries.
We are looking for extraordinary talents to join our industry-leading team.
Roles and Responsibilities
- Be the interface between Perceptra’s tech team, customers, and partners in solution delivery projects.
- Maintain a detailed technical understanding of our AI solution and design the right solution architecture that fits customers.
- Lead, design, and implement technical integration efforts with Perceptra’s customers.
- Ensure that Perceptra’s quality of service is aligned with the medical industry’s standard in terms of security and interoperability.
- Communicate with customers facing technical issues and lead the team to fix bugs swiftly.
- Improve Perceptra’s solution delivery process.
See full job post
Roles and Responsibilities
- Learning the basics of radiology (no prior experience required) – learn how to spot interesting features in x-ray images.
- Annotate data related to medical images such as chest x-ray and digital mammography images per instructions from senior staff.
- Occasionally, you will be learning to read medical reports and classify reports using in-house software.
- Recheck, verify, quality control the labels and reports.
- Compare and contrast results from AI and doctors to verify algorithms’ results and spot mistakes.
- Work in sync with the team to meet individual deadlines, daily and weekly goals.
- Occasionally work with a multidisciplinary team of medical doctors, engineers, and designers for insights to improve the labeling processes.
See full job post
Roles and Responsibilities
- Generate and evaluate leads from prospect list
- Nurture leads by educating and supporting leads with sale documents
- Drive adoption to meet or exceed quarterly and annual revenue targets
- Gather customer requirements and summarize in electronic report on a weekly, monthly, and quarterly basis
- Services existing accounts, follow up to renew subscription, and establishes new accounts by planning and organizing weekly work schedule to call or meet existing or potential customers
- Provide customers quotation by referring to price lists and product literature.
- Maintain a robust sales pipeline including opportunities in existing accounts as well as driving net new business in untapped customers
- Adjusts content of sales presentations by studying the product features and use cases
- Keeps management informed by submitting activity, results reports and CRM status. (such as daily call reports, weekly work plans, and monthly and annual territory analyses)
- Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.
- Assist teams on any necessary agreement and accounting process.
See full job post
Roles and Responsibilities
- Analyze and improve the performance of AI models by:
- Adding updated training samples and annotations to the training dataset
- Applying state-of-the-art architectures, modules, or learning methods, that are presented in recent computer vision or deep learning papers.
- Utilizing advanced image processing techniques to improve the generalization performance of AI models.
- Apply coding skills to:
- Analyzing and improving the efficiency, scalability, and stability of training, validation, and inference pipeline
- Adapting the training pipeline to best exploit modern parallel environments such as distributed clusters
- Research, design and develop deep learning and computer vision algorithms to detect a wide variety of medical conditions from image and textual data.
- Support internal large-scale inference activities.
- Fast prototyping of AI models for new medical problems.
- Investigate problems with models during the product development and after product launch.
- Perform unit testing and integrated tests to support accurate and high-performance productions of AI models.
- Read and implement algorithms publications in the field of deep learning and computer vision, as well as publish your own work, and contribute to the community via conferences/meetups etc.
- Perform analytic tasks. For example, analyzing models’ usability from the user experience standpoint, performing statistical tests to convey models’ usefulness to medical professionals
- Participate in long term research efforts, and build excellence in the field of deep learning for imaging data. Keep yourself up to date with the latest practice.
- Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team.
