Principal Applied Scientist
RadNet, Inc.
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
Über
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.
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.
Product & Business Impact
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.
Governance & Compliance
Ensure compliance with
HIPAA and healthcare data privacy regulations .
Implement responsible AI practices including
model validation, monitoring, and risk management .
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, 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.
Healthcare or health services experience is a
plus .
A
product‑oriented mindset , with the ability to align applied science work with business objectives and impact.
Excellent
communication and cross‑functional collaboration skills .
Compensation The salary range for this position is
$190K to $210K . Specific compensation offers are determined based on a variety of factors including the candidate’s education, experience, skills, work location, and internal equity considerations. In addition to base salary, this position is eligible for an annual performance bonus and a comprehensive benefits package, including health insurance and a 401(k) retirement plan.
Benefits
Medical, dental and vision coverage with low deductible & copay.
Life insurance.
Short and long‑term disability.
401(k) + match.
Employee Stock Purchase Plan.
Generous paid time off – accrued based on years of service.
10 paid company holidays.
Flexible Spending Account.
Employee Assistance Program.
Sick time benefits as described in company policy.
EEO Statement Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or protected veteran status. Information on race, gender and national origin will only be used for statistical and record‑keeping purposes and will not be used in making any employment decisions. All information provided will be kept separate from your expression of interest. Provision of this information is strictly voluntary, and you will not be subjected to any adverse action or treatment if you choose not to provide it.
Application Deadline We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.
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Sprachkenntnisse
- English
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