Senior Software Developer – Healthcare Analytics & AI

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<p>About the Role<br>
At Oracle Health, we’re building the future of healthcare - cloud-native Healthcare&nbsp;<br>
Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform&nbsp;<br>
how hospitals and physicians work - enabling better patient care while ensuring accurate,&nbsp;<br>
timely reimbursement.</p>
<p><br>
We are modernizing Electronic Health Record and Revenue Cycle Management systems&nbsp;<br>
using LLMs and AI agents, helping clinicians focus more on patients and less on administrative&nbsp;<br>
burden.</p>
<p><br>
We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data&nbsp;<br>
processing pipelines that ingest, transform, and analyze massive volumes of healthcare data&nbsp;<br>
with low latency, powering business insights and analytics across EHR and RCM systems.</p>
<p><br>
You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical&nbsp;<br>
decision support, revenue optimization, and workflow automation while using AI-assisted&nbsp;<br>
development tools to accelerate delivery.</p>
<p><br>
Key Responsibilities<br>
• Build and enhance data pipelines, ETL workflows, and transformations.&nbsp;<br>
• Contribute to LLM/agent-based features and analytics use cases.&nbsp;<br>
• Work with EHR/RCM datasets and support KPI/dashboard development.&nbsp;<br>
• Learn and apply best practices in cloud, data engineering, and LLMOps.&nbsp;</p>
<p><br>
Mandatory Qualifications:<br>
• BS/MS in in Computer Science or equivalent.<br>
• 5+ years of relevant software engineering experience.&nbsp;<br>
• Strong software engineering skills in Python/Java.&nbsp;<br>
• Strong knowledge of SQL.&nbsp;<br>
• Deep expertise in data engineering: ETL, data transformation, data modeling (Spark,&nbsp;<br>
SQL)<br>
• Experience building high-scale distributed data systems.&nbsp;<br>
• Cloud experience (OCI/AWS/Azure).&nbsp;<br>
• Experience with creating major new functionality in a software system all the way from&nbsp;<br>
design, through development and testing to production deployment.&nbsp;<br>
• Experience with collaborating across multiple functional areas to develop components&nbsp;<br>
that are part of a larger system.&nbsp;<br>
• Experience with LLMs, prompt engineering, and agent frameworks.&nbsp;<br>
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to&nbsp;<br>
rapidly prototype, test, iterate, and deliver reliable code.&nbsp;<br>
• Experience using the ChatGPT, Claude or similar models on a routine basis to improve&nbsp;<br>
productivity.&nbsp;</p>
<p><br>
Preferred Qualifications:&nbsp;<br>
• Experience with agentic architectures or GenAI platforms.&nbsp;<br>
• Background in healthcare or digital health systems.&nbsp;<br>
• Understanding of EHR systems and RCM workflows.&nbsp;<br>
• Familiarity with healthcare coding standards (ICD/CPT).</p>
Disclaimer:<br><br><b>Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.</b><br><br><b>Range and benefit information provided in this posting are specific to the stated locations only</b><br><br>US: Hiring Range in USD from: $89,200 to $209,500 per annum. May be eligible for bonus and equity.<br><br><br>Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.<br>Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.<br><br>Oracle US offers a comprehensive benefits package which includes the following:<br>1. Medical, dental, and vision insurance, including expert medical opinion<br>2. Short term disability and long term disability<br>3. Life insurance and AD&D<br>4. Supplemental life insurance (Employee/Spouse/Child)<br>5. Health care and dependent care Flexible Spending Accounts<br>6. Pre-tax commuter and parking benefits<br>7. 401(k) Savings and Investment Plan with company match<br>8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.<br>9. 11 paid holidays<br>10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.<br>11. Paid parental leave<br>12. Adoption assistance<br>13. Employee Stock Purchase Plan<br>14. Financial planning and group legal<br>15. Voluntary benefits including auto, homeowner and pet insurance<br><br>The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.<p>Career Level - IC3</p><br>
As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.
We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data
processing pipelines that ingest, transform, and analyze massive volumes of healthcare data
with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical
decision support, revenue optimization, and workflow automation while using AI-assisted
development tools to accelerate delivery.

Responsibilities
• Build and enhance data pipelines, ETL workflows, and transformations.
• Contribute to LLM/agent-based features and analytics use cases.
• Work with EHR/RCM datasets and support KPI/dashboard development.
• Learn and apply best practices in cloud, data engineering, and LLMOps.

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