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About the role
Job Title: Solution EngineerResponsibilities:Cloud Computing Expertise: Utilize advanced knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud to architect and implement scalable, reliable, and secure solutions for healthcare applications. Programming Proficiency: Develop custom software solutions using programming languages like Python, Java, or C# to address complex healthcare challenges, ensuring compatibility with industry standards and regulations. Database Management: Design and optimize databases (SQL, NoSQL) to efficiently store and retrieve healthcare data while adhering to privacy and security regulations such as HIPAA. Messaging Systems: Implement messaging systems like HL7 and FHIR to enable seamless interoperability between healthcare applications, facilitating the exchange of patient data in a standardized format. Healthcare Standards Compliance: Ensure compliance with healthcare standards such as FHIR (Fast Healthcare Interoperability Resources) and HL7 (Health Level Seven) to guarantee interoperability, data consistency, and regulatory adherence. Solution Architecture: Collaborate with cross-functional teams to design comprehensive and scalable solutions that meet the unique needs of healthcare organizations, integrating various technologies and platforms seamlessly. Technical Support: Provide technical guidance and support to internal teams and clients, troubleshooting issues and optimizing solutions to enhance performance and user experience. Continuous Learning: Stay updated on emerging technologies, industry trends, and regulatory changes…
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Aidence is open for
People for
Sales & Business Development
Interested to work in
Bengaluru
And have following skills
Java or Python or C# or SQL or Amazon AWS or Google Cloud or Azure or NoSQL or Healthcare & Life science
We are Aidence: we rally the brightest minds to drastically improve medical diagnostics using AI.
There are
51 – 200
employees in the company
3M to 5M
Company annual revenue
Offices
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.