Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real world problems and seek to utilize their skills reduce the cost of healthcare and improve health quality and outcomes. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes. Please note: We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience. Responsibilities As a Sr GenAI Data Scientist I within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented. - Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques. - Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases. - Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work. - Prepare your final trained model and develop a validation test set for QA. - Work with production operations to deploy your model into production and support them in monitoring model performance. - Participate in other data science teams collaborating with your peers to support their projects. - Participate in knowledge sharing sessions to bring new insights and technologies to the team. - Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform. - Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption. - Complete all responsibilities as outlined in the annual performance review and/or goal setting. - 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 and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Qualifications - Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI. - Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases. - 3+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU. - Experience building production-grade machine learning deployments on AWS, Azure, or GCP. - Experience working with Apache Spark™ and large-scale distributed datasets. - Experience communicating technical concepts to non-technical and technical audiences is a plus. - Passion for collaboration, learn it all mindset and driving value with AI. Mental Requirements: - Ability to work independently as well as collaborate as a team with a sense of urgency. - Professional with ability to properly handle confidential information. - Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort. - Ability to handle multiple tasks, prioritize and meet deadlines. - Ability to work within a matrixed organization. - Proficiency in all required skills and competencies above. - Communicating with others and teamwork. - Assessing the accuracy, neatness, and thoroughness of the work assigned. Physical Requirements and Working Conditions: - Flexibility to work with global teams as well geographically dispersed US based teams. - 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 high-speed internet access / connectivity and office setup and maintenance. - Must be able to provide a dedicated, secure work area. Base compensation ranges from $125,000.00 to $150,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. Since this job will be based remotely, all interviews will be conducted virtually. Date of posting: 04/1/2026 Applications are assessed on a rolling basis. We anticipate that the application window will close on 07/1/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. #LI-Remote #senior #LI-LL1 #remote

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description We are seeking a postdoctoral fellow with experience working with large-scale healthcare claims data to conduct data analyses and write manuscripts for a new study on pregnancy and cardiovascular health in caring for women with systemic lupus erythematosus. The ideal candidate will have experience working with MarketScan or other large administrative claims datasets and constructing longitudinal cohorts by linking individuals across time and data domains (e.g., enrollment, pharmacy, inpatient, and outpatient files). Familiarity with target trial emulation would be helpful but not required. JOB DESCRIPTION: - Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. - The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. - Designs and evaluates experiments. - Develops new ideas that promote current research. - Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. - May be responsible for operation of specific equipment. - May teach techniques to others, train, and supervise research staff. - Positions are temporary appointments as a research trainee. - The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. - Appointments cannot exceed five years. MINIMUM QUALIFICATIONS: - A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. - Excellent scientific writing ability and strong oral communication skills. - The ability to work effectively and collegially with colleagues. - Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: - Strong understanding of epidemiologic concepts - Formal training in biostatistics, epidemiology, or related quantitative field - Experience managing and analyzing large, complex healthcare datasets, preferably MarketScan or similar - Familiarity with ICD, CPT, and NDC coding systems - Proficiency in SAS or R for data cleaning and analysis - Commitment to writing clear documentation - Strong writing and communication skills - Ability to work independently, but also comfortable asking questions NOTE: Tasks related to this position can be performed remotely with only occasional visits to an Emory University location. Eastern (EST) time zone business hours may apply. Emory reserves the right to change this status with notice to employee. Emory does not approve as a primary work location in the following states; NJ, AK, and HI, any U.S. Territories or outside of the United States. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

• Manage the Cognitive Services and AI/ML components of End-to-End Digital Transformation Solutions across Business Units and Horizontal Units • Lead digital transformation initiatives within the Business Transformation Group, enabling solutions-led sales and customer presentations focused on Cognitive Intelligence, AI/ML, and Analytics capabilities • Identify and develop innovative cognitive services solutions that drive cost efficiency, revenue generation, and measurable business outcomes for clients • Oversee large-scale transformation deals involving multiple digital levers including AI/ML, advanced analytics, workflow automation, rules engines, and immersive customer experiences • Conduct detailed process mapping and entitlement studies to identify opportunities for applying Cognitive Services, AI/ML, and Advanced Analytics solutions • Create comprehensive transformation roadmaps and execute implementation strategies to achieve defined outcomes and business impact • Collaborate with technology, research, analytics, and product teams to design optimal solutions, including solution architecture, functional architecture, technical architecture, and deployment strategies • Develop reusable, modular, and configurable AI/ML components and accelerators that integrate into end-to-end solutions addressing industry-specific challenges • Build business cases with clearly defined outcomes and benefits aligned to client objectives • Engage with client senior leadership to present transformation roadmaps and co-create implementation approaches • Drive delivery of contractual transformation KPIs and manage overall program execution to ensure benefits realization within agreed timelines • Support sales and pre-sales teams in transformation solution development for new business opportunities, ensuring optimal solution fit • Prepare and defend RFP responses, providing detailed solution walkthroughs and technical justification • Evaluate emerging technologies for domain relevance and collaborate with alliance partners for technology integration and onboarding

• Build and deploy GenAI models for text generation and content automation. • Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks • Establish the best practices for LLMOps, including prompt engineering and monitoring. • Develop solution based on latest coding standards like Pep-8 Deep Learning and NLP components