Funding RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology ... Write clean, testable, and maintainable code following best practices in coding standards, version ...
Funding RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology ... Write clean, testable, and maintainable code following best practices in coding standards, version ...
AI Engineer
Palo Alto, CA · On-site
Funding RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology ... Write clean, testable, and maintainable code following best practices in coding standards, version ...
AI Engineer
Palo Alto, CA · On-site
Funding RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology ... Write clean, testable, and maintainable code following best practices in coding standards, version ...
Internship Optum Coding information
What is an Internship at Optum in Coding?
An Internship at Optum in Coding is a temporary, hands-on training program designed for students or recent graduates interested in medical coding and healthcare administration. Interns work alongside experienced professionals to learn about healthcare billing, coding systems like ICD-10 and CPT, and how medical data is processed for insurance purposes. The program offers practical experience, mentorship, and exposure to the healthcare industry, which can be valuable for future career opportunities. Participants often gain insights into compliance, data management, and the technologies used in medical coding.
What is the difference between Internship Optum Coding vs Medical Coding Intern?
| Aspect | Internship Optum Coding | Medical Coding Intern |
|---|---|---|
| Required Credentials | High school diploma or equivalent; some certifications preferred | High school diploma; pursuing or completed coding certification (e.g., CPC) |
| Work Environment | Healthcare company, office or remote | Healthcare provider or insurance company, office or remote |
| Employer & Industry Usage | Optum/UnitedHealth Group, healthcare industry | Hospitals, clinics, insurance companies, healthcare industry |
Internship Optum Coding typically offers a structured program within a large healthcare organization, focusing on real-world coding tasks. Medical Coding Internships are often found in various healthcare settings, providing foundational experience in medical coding. Both roles aim to prepare interns for careers in healthcare coding but differ mainly in employer and program structure.
What kinds of projects and responsibilities can I expect during an Optum Coding internship?
As an Optum Coding intern, you'll typically be involved in projects that support the medical coding team, such as reviewing clinical documentation, applying ICD-10 and CPT coding guidelines, and participating in quality checks. Interns often assist with coding audits, updating coding databases, and learning compliance procedures under the guidance of experienced coders. You'll collaborate closely with mentors, other interns, and healthcare professionals, gaining exposure to the workflow of a large healthcare organization. This hands-on experience is valuable for building foundational knowledge and developing skills essential for a coding career.
What are the key skills and qualifications needed to thrive as an Internship Optum Coding, and why are they important?
To thrive as an Internship Optum Coding, you need a foundational understanding of medical terminology, anatomy, and basic coding principles, often supported by coursework in health information management or a related field. Familiarity with coding systems like ICD-10, CPT, and healthcare software such as Epic or other EHR platforms is typically expected. Attention to detail, analytical thinking, and effective communication are essential soft skills for accurately interpreting medical records and collaborating with teams. These skills ensure accurate code assignment, regulatory compliance, and support the integrity of healthcare billing and reporting processes.
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Other
Posted 25 days ago
Job description
About RISA Labs
At RISA, we are building the future of mission critical workflows by leveraging the latest in AI. Our purpose is to solve humanity's hardest hurdles, starting with the incredibly high stakes challenges within oncology. We are not just selling software, we are delivering resilient, autonomous infrastructure that powers foundational institutions and ultimately helps accelerate human progress.
Founders
RISA was founded by Kshitij Jaggi and Kumar Shivang, IIT Kanpur alumni with a proven track record from their previous healthcare startup, Urban Health. Their vision is to streamline oncology care through cutting edge technology.
Funding
RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology Ventures, General Catalyst, Binny Bansal, z21 Ventures, John Simons and select angels.
The Opportunity
You'll be part of the core engineering team building scalable, high-impact systems that power our healthcare AI solutions. We're looking for bright, curious minds in engineering with strong foundations in Python, data structures, algorithms, and system design. This role is ideal for fresh graduates who are eager to solve challenging problems, work on distributed systems and backend technologies, and learn hands-on in a fast-moving startup environment. If you enjoy turning ideas into real, impactful products and thrive in a culture of collaboration and innovation, this is the place to start your journey.
What You'll do
- Design, Develop, and Deploy scalable software systems with strong emphasis on Python-based applications and backend engineering
- Collaborate cross-functionally with product managers, researchers, and engineers to translate complex problems into elegant, efficient solutions
- Contribute to System Design discussions and assist in building reliable,
high-performance architectures - Write clean, testable, and maintainable code following best practices in coding standards, version control, and CI/CD
- Debug, optimize, and improve system performance, ensuring solutions meet both technical and business requirements
- Learn and grow continuously through mentorship, technical reviews, and exposure to cutting-edge problems in healthcare and AI systems
What You'll Bring
- 2 to 5 years of work experience
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
- Strong foundation in Machine Learning, Deep Learning, and NLP, with hands-on experience in developing or deploying LLM-based systems
- Practical exposure to model fine-tuning, prompt engineering, and optimization for performance and scalability
- Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow)
- Knowledge of system design fundamentals (distributed systems, APIs, databases, cloud concepts)
- Strong problem-solving and analytical skills with ability to break down complex problems into structured solutions
- Experience with projects/internships involving backend systems, scalable applications, or research-oriented software development is a plus
- Eagerness to learn, collaborate, and innovate in a fast-paced startup environment