Lead Applied Scientist

Location

United States

Posted

67 days ago

Salary

$150K - $170K / year

Seniority

Lead

Job Description

Lead Applied Scientist

Claritev

Role Description We are seeking a Lead 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. - Architect and deliver predictive, generative, and agentic AI systems that automate complex healthcare workflows and unlock new insights from large-scale healthcare data. - 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. - Serve as a technical thought leader and mentor, helping shape Claritev’s AI strategy and elevating the scientific rigor and innovation of the organization. Qualifications - Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field. - 5+ 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. - 1-2 years of hands-on experience with Generative AI and agent development. - Healthcare or health services experience is a plus. - 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. Requirements - 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. - 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.

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