• Drive applied research across retrieval, ranking, and agent-centric search systems • Design and improve multi-stage retrieval pipelines, including query understanding, rewriting, and reranking • Develop approaches for grounding LLMs using real-time web data • Define and implement evaluation methodologies and quality metrics for agent-native search • Lead experimentation on modern retrieval techniques such as hybrid search, embedding-based systems, and cross-encoders • Work closely with engineering teams to bring research into production at scale • Analyse trade-offs across relevance, latency, and cost in large-scale systems • Contribute to long-term research and product direction • Mentor engineers and researchers and raise the technical bar of the team

As an AI scientist at Clario, you will push the boundaries of AI in clinical trials and help build the first end-to-end AI-enabled clinical trial platform. This research role involves foundation models and large initiatives including universal lesion detection and segmentation, as well as creating new end-to-end pipelines encompassing the whole clinical trial cycle. The position requires close collaboration with cross-functional teams to bring innovative imaging-AI solutions into production. What We Offer - Competitive compensation - Attractive benefits (security, flexibility, support and well-being) - Remote or hybrid working What You’ll Be Doing - Research and develop CNNs, transformers, multimodal foundation models, and domain-specific architectures (e.g., vision models for lesion tracking, image registration models, lesion segmentation neural networks) - Research, design, and build machine learning models tailored to complex medical imaging datasets - Conduct experiments and champion the exploration of new technologies and methodologies in AI and machine learning - Collaborate within a multidisciplinary team of product managers, radiologists, clinical scientists, AI and software engineers - Contribute to the broader technical vision and mentor teammates in ML best practices - Maintains Quality of Service and Departmental Standards by reading, understanding, and adhering to organizational Standard Operating Procedures (SOPs) - Participate in the design and development of our products, in collaboration with clinical partners, Product, and Customer Success teams - Contribute to the design and success of scientific publications What We Look For - PhD, or Master’s degree with equivalent experience in Machine Learning, Computer Vision or a related field - Proficiency in Python and relevant machine learning frameworks (PyTorch) - Ability to design, run, and analyze experiments independently and communicate scientific results - Willingness to dive deep into complex medical topics and communicate with multidisciplinary teams - Understanding of machine learning and statistics principles, computer vision challenges, and medical imaging - Demonstrated record of working on research projects with peer-reviewed scientific communications, publications and/or talks - Strong theoretical and practical background in deep learning development demonstrated with proven track record of delivering AI solutions from prototyping to usage. Experience with cloud platforms and MLOps tools is a plus - Experience of developing medical AI solutions and interacting with clinicians or participating in open-source medical projects - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing scientific talent At Clario, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.

Overview The Gen AI Data Scientist - 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 Gen AI Data Scientist 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. - 1+ 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. Metal 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 $110,000.00 to $130,000.00 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 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: 3/23/2026 Applications are assessed on a rolling basis. We anticipate that the application window will close on 06/23/2026, 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

• Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights. • Systematically evaluate divergence between professional investment reasoning and AI outputs. • Translate how investors navigate uncertainty, stress assumptions, and structure transactions into problems that push the limits of AI reasoning. • Build and validate real-world financial models, returns analyses, and investment cases used to evaluate frontier AI systems.