CPT Data Analytics Engineer Jobs
Data Analytics Engineer jobs on CPT put you at the intersection of data pipeline work and business intelligence, exactly the kind of applied, curriculum-integrated experience DSOs authorize. Your I-20 must reflect a program in data science, computer science, statistics, or a related field, and your DSO must connect the role to your degree before you start.
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The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in the Summer or Fall of 2026.
Responsibilities:
NOTE:There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
QUALIFICATIONS
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
MENTAL REQUIREMENTS:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
PHYSICAL REQUIREMENTS AND WORKING CONDITIONS:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
COMPENSATION:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
DATE OF POSTING: 4/24/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/24/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
Overview:
The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. Creates research papers, analytical reports, proposals, and educational material. Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. We are currently looking for interns who can start in the Summer or Fall of 2026.
Responsibilities:
NOTE:There are multiple open intern positions. Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.
Technical Expertise
- Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
- Assists in developing and improving LLMs and ML tools used across the organization.
- Assists in establishing and maintaining an Artificial Intelligence Governance Program.
Communication & Collaboration
- Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
- Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.
Leadership & Management
- Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
- Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
- Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.
External Relationships & Partnerships
- Supports vendor evaluations and contributes to collaborations with vendors.
- Assists as a liaison between academic institutions, professional organizations, and research groups as needed.
Other
- Support the Academic Corporate Engagement efforts to develop research and educational talent, with a focus on enhancing health tech knowledge and skills.
- Complete all responsibilities and goals outlined in the internship program.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
QUALIFICATIONS
- Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD.
- Demonstrated interest or experience in AI, healthcare technology, or informatics research.
- Strong foundational knowledge in generative AI model development, architectures, and vector databases.
- Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
- Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
- Ability to work collaboratively and communicate effectively with cross-functional teams.
MENTAL REQUIREMENTS:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
PHYSICAL REQUIREMENTS AND WORKING CONDITIONS:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
COMPENSATION:
- Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
DATE OF POSTING: 4/24/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/24/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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Get Access To All JobsData Analytics Engineer CPT: Frequently Asked Questions
Does a Data Analytics Engineer role qualify for CPT authorization?
It qualifies if the work is directly tied to your enrolled program. Roles involving data pipeline development, business intelligence reporting, or statistical modeling are routinely authorized for students in computer science, data science, statistics, and information systems programs. The specific tasks in your offer letter, not just the job title, are what your DSO evaluates against your curriculum.
Can I do CPT for a data analytics internship while enrolled part-time?
Part-time CPT is available if you're maintaining at least half-time enrollment and the work fits your curriculum. Full-time CPT, 20 or more hours per week, is authorized during semesters when your program permits it, but using 12 or more months of full-time CPT eliminates your OPT eligibility, so plan your authorization carefully with your DSO before accepting a full-time role.
How do I find Data Analytics Engineer jobs that accept CPT authorization?
Browse verified listings on Migrate Mate, which surfaces employers with active DOL filings for data and analytics roles. CPT-friendly employers in this field tend to be tech companies, financial services firms, and consulting agencies with established international student hiring programs. Targeting employers with LCA filing history is the most reliable way to identify who already understands work authorization documentation.
What happens to my CPT if my employer changes my job duties during the internship?
If your responsibilities shift significantly, for example, from data modeling work to general IT support, your CPT authorization may no longer cover the role. Your DSO authorized a specific scope of work tied to your curriculum. Notify your DSO immediately if your duties change and request a new authorization update before continuing, or you risk working outside your authorized status.
Does CPT work as a Data Analytics Engineer count toward STEM OPT later?
CPT itself doesn't directly count toward OPT, but the experience strengthens your application and helps you qualify for STEM OPT after graduation if your degree is in a STEM-designated field. To use STEM OPT, you'll need a qualifying degree, a Form I-983 training plan, and an employer enrolled in E-Verify. USCIS requires the STEM OPT training plan to describe concrete learning objectives tied to your field.