About the role
Who you are
- BS degree or equivalent in computer engineering, computer science, or similar computer technology field
- 3+ years of experience in software verification and validation
- Proficiency in designing, developing, and maintaining test scripts, tools, and solutions
- 3+ years of experience troubleshooting hardware, software and network problems
- Working knowledge of (RedHat, CentOS) Linux and Windows operating systems in a virtual environment
- Experience with test management tools (Xray for Jira and TestComplete)
- Demonstrable history of BASH scripting
- Experience with web-based technologies including Web Services and RESTful interfaces
- Ability to analyze test results to isolate a problem’s root causes
- Solid planning and organizational skills
- Excellent written, verbal, and interpersonal communication skills
- Willingness to work as a team player
What the job involves
- The QA Test Engineer will be responsible for planning, designing and implementing test cases for DeepHealth’s products, creating test scripts, analyzing results, and documentation
- The QA Test Engineer will work closely with software developers, product managers, support engineers and technical writers to uncover anomalies, verify requirements, and validate solutions quickly, efficiently, and in compliance to DeepHealth’s high product standards
- Document, develop and execute test plans, strategies, and test cases based on requirements and discussions with project team
- Design, develop and implement test scripts for various software components and systems
- Perform manual, regression, functional, and performance testing when needed
- Coordinate test efforts with outside vendors and internal team members
- Capture and analyze test results and document steps for reproducibility
- Perform required maintenance on the QA environment
- Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors
- Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance
- Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA
- Follows OSHA regulations, RadNet and site protocols, policies and procedures
- Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times
- Practices universal safety precautions
- Promotes good public relations on the phone and in person
- Adapts and is willing to learn new tasks, methods, and systems
- Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with RadNet guidelines
- Consistently adheres to the time management policies and procedures
- Completes job responsibilities in a quality and timely manner
About Aidence
We believe that data is key to disease prevention, management, and treatment.
Our team knows how to turn complex data science into practical and intuitive solutions that make physicians' work easier. Yet beyond state-of-the-art technology, we're driven by the purpose of improving patients' lives. We made it our mission to provide AI that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.
Our 60+ team of data scientists, software engineers, medical, regulatory, and business professionals cut through the hype around AI to build solutions tailored to the needs of clinicians and integrated into their workflow.
Veye Lung Nodules, our CE certified solution for pulmonary nodule management, is currently used in clinical practice and lung cancer screening across Europe. Veye Lung Nodules supports the improvement of patient outcomes by ensuring faster results, lowering the risk of misdiagnosis, and helping to detect and segment early-stage lung cancer.
Aidence is part of the AI division of RadNet, an US-based leading provider of diagnostic imaging services.
Do you want to contribute to the creation of AI tools that will transform the healthcare industry? Are you ambitious and ready for a scale-up challenge?
Glimpse into the Aidence life: http://bit.ly/lifeataidence Check our openings here: https://www.aidence.com/join-the-team/
About the role
Who you are
- BS degree or equivalent in computer engineering, computer science, or similar computer technology field
- 3+ years of experience in software verification and validation
- Proficiency in designing, developing, and maintaining test scripts, tools, and solutions
- 3+ years of experience troubleshooting hardware, software and network problems
- Working knowledge of (RedHat, CentOS) Linux and Windows operating systems in a virtual environment
- Experience with test management tools (Xray for Jira and TestComplete)
- Demonstrable history of BASH scripting
- Experience with web-based technologies including Web Services and RESTful interfaces
- Ability to analyze test results to isolate a problem’s root causes
- Solid planning and organizational skills
- Excellent written, verbal, and interpersonal communication skills
- Willingness to work as a team player
What the job involves
- The QA Test Engineer will be responsible for planning, designing and implementing test cases for DeepHealth’s products, creating test scripts, analyzing results, and documentation
- The QA Test Engineer will work closely with software developers, product managers, support engineers and technical writers to uncover anomalies, verify requirements, and validate solutions quickly, efficiently, and in compliance to DeepHealth’s high product standards
- Document, develop and execute test plans, strategies, and test cases based on requirements and discussions with project team
- Design, develop and implement test scripts for various software components and systems
- Perform manual, regression, functional, and performance testing when needed
- Coordinate test efforts with outside vendors and internal team members
- Capture and analyze test results and document steps for reproducibility
- Perform required maintenance on the QA environment
- Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors
- Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance
- Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA
- Follows OSHA regulations, RadNet and site protocols, policies and procedures
- Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times
- Practices universal safety precautions
- Promotes good public relations on the phone and in person
- Adapts and is willing to learn new tasks, methods, and systems
- Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with RadNet guidelines
- Consistently adheres to the time management policies and procedures
- Completes job responsibilities in a quality and timely manner
About Aidence
We believe that data is key to disease prevention, management, and treatment.
Our team knows how to turn complex data science into practical and intuitive solutions that make physicians' work easier. Yet beyond state-of-the-art technology, we're driven by the purpose of improving patients' lives. We made it our mission to provide AI that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.
Our 60+ team of data scientists, software engineers, medical, regulatory, and business professionals cut through the hype around AI to build solutions tailored to the needs of clinicians and integrated into their workflow.
Veye Lung Nodules, our CE certified solution for pulmonary nodule management, is currently used in clinical practice and lung cancer screening across Europe. Veye Lung Nodules supports the improvement of patient outcomes by ensuring faster results, lowering the risk of misdiagnosis, and helping to detect and segment early-stage lung cancer.
Aidence is part of the AI division of RadNet, an US-based leading provider of diagnostic imaging services.
Do you want to contribute to the creation of AI tools that will transform the healthcare industry? Are you ambitious and ready for a scale-up challenge?
Glimpse into the Aidence life: http://bit.ly/lifeataidence Check our openings here: https://www.aidence.com/join-the-team/