Principal Applied Scientist

Claritev•New York, NY

About The Position

At Claritev, our mission is to simplify healthcare workflows, improve transparency, and bend the healthcare cost curve. We believe that data, technology, and AI can fundamentally transform how healthcare operates by automating complex workflows, improving decision-making, and reducing unnecessary costs across the system. By combining deep healthcare expertise with advanced analytics and AI, we help payers, providers, and employers operate more efficiently and deliver better outcomes for the people they serve. We are bold in our thinking, rigorous in execution, and committed to service excellence for every stakeholder. Our culture values innovation, accountability, diversity of thought, and collaboration. Join us as we accelerate our transformation into a leading technology and AI-driven company shaping the future of healthcare. JOB SUMMARY: We are seeking a Principal Applied Scientist to lead the research, development, and deployment of advanced machine learning and AI systems that power Claritev’s next generation of healthcare products. This is a hands-on technical leadership role for an experienced applied scientist who thrives at the intersection of research innovation, real-world deployment, and measurable business impact. You will architect and deliver predictive, generative, and agentic AI systems that automate complex healthcare workflows and unlock new insights from large-scale healthcare data. In this role, you will work closely with Product, Engineering, and business leaders to translate cutting-edge research into scalable production solutions that improve transparency, reduce costs, and simplify healthcare operations. You will also serve as a technical thought leader and mentor, helping shape Claritev’s AI strategy and elevating the scientific rigor and innovation of the organization.

Requirements

Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
8+ years of hands-on industry experience applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production.
2-3 years of hands-on experience with Generative AI and agent development.
Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n).
Expertise in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows.
Experience in building evaluation pipelines for LLM and agent performance, including metrics such as accuracy, reliability, and latency.
Proficiency in using AI Coding tools like Github Copilot, OpenAI Codex etc.
Strong foundation in ML theory, including deep learning, statistics, or optimization.
A product-oriented mindset, with the ability to align applied science work with business objectives and impact.
Excellent communication and cross-functional collaboration skills.

Nice To Haves

Healthcare or health services experience is a plus

Responsibilities

Lead the research, design, and deployment of machine learning and AI systems in production environments.
Architect predictive, generative, and optimization models that drive healthcare cost reduction, transparency, and operational efficiency.
Develop advanced analytics, forecasting, and decision-support models that improve customer and client outcomes.
Research and evaluate emerging AI technologies, foundation models, and agentic systems to identify opportunities for new products and capabilities.
Design and implement novel machine learning and optimization methodologies tailored to complex healthcare data and workflows.
Drive experimentation and rapid prototyping to accelerate innovation and product development.
Partner with Product, Engineering, and business stakeholders to translate AI capabilities into scalable solutions.
Identify opportunities to leverage Claritev’s data assets to create new AI-driven products, insights, and automation capabilities.
Collaborate directly with clients to gather feedback and ensure solutions deliver measurable value.
Write high-quality, scalable, and production-ready code.
Work closely with Engineering and DevOps teams to deploy and maintain models in production systems.
Develop monitoring frameworks to ensure model performance, reliability, and data quality over time.
Serve as a technical mentor and leader for applied scientists and data scientists.
Foster a culture of scientific rigor, experimentation, and knowledge sharing.
Collaborate across disciplines including product management, engineering, analytics, and operations.
Ensure compliance with HIPAA and healthcare data privacy regulations.
Implement responsible AI practices including model validation, monitoring, and risk management.

Benefits

Medical, dental and vision coverage with low deductible & copay
Life insurance
Short and long-term disability
Paid Parental Leave
401(k) + match
Employee Stock Purchase Plan
Generous Paid Time Off – accrued based on years of service
WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service
10 paid company holidays
Tuition reimbursement
Flexible Spending Account
Employee Assistance Program
Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits.