
5001 - 10000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
🔥 14 hours ago
🇺🇸 United States – Remote
💵 $50 - $60 / hour
⏰ Full Time
🟢 Junior
🟡 Mid-level
👔 Manager
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Cotiviti's careers page, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on Cotiviti's site. Checked 1 hour ago.

5001 - 10000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
• Provide day-to-day supervision of research interns on the Technical Prospecting team • Coordinate intern research activities according to priorities, research questions, roadmaps, delivery targets, and technical procedures • Translate project objectives into assignments, weekly goals, schedules, and workflow; monitor progress • Maintain records of assignments, milestones, owners, risks, and dependencies; provide status reports and escalate delivery, compliance, and stakeholder risks • Administer cycle planning, weekly check-ins, milestone reviews, demos, and other planning routines • Manage project schedules and milestones; adjust workflow and escalate capacity constraints, timeline risks, and scope changes • Review project documentation and results for completeness, repeatability, and demonstration readiness; recommend adoption, revision, or discontinuation • Support refinement of research questions and documentation of baselines, success measures, and acceptance criteria • Apply evaluation methods, test data, benchmarks, accuracy measures, and error-analysis practices; investigate exceptions • Monitor documentation and version-control requirements for code, prompts, data, and experiment logs • Conduct literature, tool, and vendor reviews and summarize findings and recommendations • Perform hands-on research, prototyping, coding, debugging, testing, and documentation using approved AI tools • Review intern code, prototypes, and documentation for correctness, performance, security, maintainability, and AI-native SDLC standards • Perform individual technical tasks such as creating prototypes, reproducing results, building evaluation aids, and resolving routine blockers • Collect and document business and operational requirements from end users and sponsors • Coordinate technical reviews, document decisions and actions, and monitor feedback completion regarding APIs, services, and application architecture • Facilitate knowledge-sharing sessions and recommend improvements to team procedures • Provide input on intern selection; administer onboarding, recruiting, access, training, and offboarding processes • Hold regular 1:1s, coach interns, provide feedback, and administer midpoint and end-of-internship evaluations • Review and approve intern timecards and maintain required administrative records • Coordinate with technical leadership, engineering, data science, HR, university relations, and business stakeholders • Monitor compliance with security, privacy, and data-handling policies; investigate routine exceptions and escalate material concerns • Maintain project templates, onboarding materials, standard operating procedures, and the research archive • Hire, develop, coach, lead, and retain talent while improving team culture and customer satisfaction • Complete performance-review goals, special projects, and other assigned duties
• Degree in computer science, machine learning, AI, data science, engineering, or a related technical field, with one of the following: Bachelor’s degree + 2-3 years of experience; Master’s degree + 1-2 years of experience; PhD + 0-1 years of experience • Relevant experience in software engineering, applied AI, machine learning, or data science research, and technical program or project management • Experience leading, mentoring, or managing technical contributors such as interns, early-career engineers, or research assistants • Working knowledge of AI-assisted development tools and ability to review intern code and prototypes for technical, security, and documentation standards • Ability to quickly evaluate and adopt new AI tools • Experience supporting applied research or experiments using established methods, documenting hypotheses, applying evaluation metrics, analyzing results, and recommending next steps • Experience translating approved objectives into assignments, short-term goals, schedules, and status reporting for a small team or work unit • Ability to work within general direction and established procedures, clarify routine requirements, and escalate material scope or acceptance-criteria questions • Clear written, verbal, and demo communication skills, including explaining complex technical concepts and results • Sound judgment about data security and privacy, especially with sensitive healthcare and claims data • Proficiency with Microsoft Office (Outlook, Excel, Word, and PowerPoint), SharePoint, and project tracking tools such as Jira or Asana • Must be able to provide high-speed internet access/connectivity and office setup and maintenance • Must be able to provide a dedicated, secure work area • Preferred: Hands-on experience with LLM application patterns such as agentic workflows, retrieval-augmented generation, tool use, prompt engineering, and LLM evaluation • Preferred: Experience with knowledge graphs or graph databases • Preferred: Experience on fast-paced product, research, or innovation teams, or in running internship or university programs • Preferred: Experience with AWS, Azure, or OCI and Docker or Kubernetes • Preferred: Exposure to healthcare, clinical chart review, medical coding, or claims concepts • Preferred: CSM, PSM I, or SAFe Agilist certification, or experience with OKRs or similar frameworks • Ability to communicate, solve problems critically, work independently, motivate and develop others, apply statistics, build solutions with modern programming languages/frameworks/AI tools, prioritize tasks, meet deadlines, and handle confidential information properly
• Medical, dental, vision, disability, and life insurance coverage • 401(K) savings plan • Paid family leave • 9 paid holidays per year • 17-27 days of Paid Time Off (PTO) per year, depending on level and length of service • Overtime pay for hours worked in excess of 40 hours per week, or as required by applicable state law • High-speed internet access/connectivity and office setup and maintenance provided by the team member requirement • Dedicated, secure work area
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