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.

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ROLES AND RESPONSIBILITY

• 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.

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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.

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.