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Overview

A growing healthcare technology organisation is seeking an experienced Healthcare Data Research Analyst to bridge the gap between healthcare domain expertise, data analysis, research, and product development.
This position focuses on investigating complex healthcare questions, interpreting policy and regulatory requirements, evaluating healthcare datasets, and creating clear, defensible data definitions that can be leveraged by product, engineering, analytics, and AI teams. The ideal candidate thrives in ambiguity, enjoys solving difficult research problems, and can translate healthcare concepts into structured analytical logic.
The role has a strong emphasis on public healthcare programs, healthcare claims data, program integrity initiatives, and service delivery analysis.

Key Responsibilities

• Research healthcare regulations, policy guidance, program documentation, clinical concepts, and external data sources to answer business and product questions.
• Translate healthcare policies and operational requirements into structured data definitions, rules, and analytical frameworks.
• Evaluate claims, encounter, eligibility, enrollment, and related healthcare datasets to identify meaningful cohorts, utilisation patterns, services, and outcomes.
• Validate research findings and business definitions through data analysis and testing.
• Assess potential external data sources that could enhance analytical capabilities or product functionality.
• Develop and test SQL-based logic to explore datasets and validate assumptions.
• Produce detailed documentation explaining methodologies, definitions, assumptions, and validation results.
• Present and defend analytical approaches and findings to cross-functional stakeholders.
• Support research, experimentation, and early-stage product development initiatives.
• Help transform ambiguous business questions into clear technical and analytical requirements.
• Collaborate with product, engineering, data science, AI/ML, analytics, and customer-facing teams.
• Serve as a subject matter expert on the relationship between healthcare policy, operational processes, and healthcare data.

Required Qualifications

• 5+ years of experience in healthcare analytics, healthcare research, healthcare informatics, clinical analytics, or a related field.
• Deep knowledge of public healthcare program data, including claims, encounters, eligibility, enrollment, and healthcare coding systems.
• Strong understanding of healthcare delivery models, services, and reimbursement concepts.
• Experience interpreting healthcare regulations, program guidance, policy documents, or clinical documentation.
• Demonstrated ability to convert policy requirements and healthcare concepts into analytical logic and data definitions.
• Advanced SQL skills and experience working with large structured datasets.
• Strong Excel proficiency.
• Excellent written and verbal communication skills.
• Proven ability to document, explain, and defend analytical decisions.
• Experience working independently with ambiguous or loosely defined business challenges.
• Strong investigative mindset and problem-solving capabilities.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Must be legally authorised to work in the United States without sponsorship.

Preferred Qualifications

• Experience with home and community-based healthcare services or related care delivery models.
• Experience supporting program integrity, compliance monitoring, fraud detection, waste reduction, or abuse prevention initiatives.
• Familiarity with state or public healthcare systems.
• Background researching healthcare policy and regulatory requirements.
• Experience addressing healthcare data quality and governance challenges.
• Knowledge of business intelligence tools such as Tableau, Power BI, or Looker.
• Exposure to AI, machine learning, or large language model technologies.
• Experience with research, prototyping, experimentation, or innovation-focused projects.

Technology Requirements

Required

• SQL
• Excel
• Healthcare claims and operational data
• Knowledge of Medicare, Medicaid, or similar public healthcare programs

Preferred

• Tableau, Power BI, or Looker
• AI/LLM tools
• Additional healthcare analytics and research technologies

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Head of Quantitative Operations

£90,000 – £100,000 + bonus

Remote

This is an opportunity to lead a high-performing quantitative operations function within a well-established organisation at the intersection of research, data, and client services. You will play a key role in shaping operational strategy, driving service excellence, and developing a talented team while working closely with senior stakeholders.

The Company

They are a global organisation that delivers data-driven insights to support strategic decision-making for their clients. With a strong focus on quality, innovation, and operational excellence, they work across complex research programmes and maintain high standards of client delivery. They foster a collaborative environment where leadership, continuous improvement, and professional development are highly valued.

The Role

• Lead the day-to-day operations of the quantitative research and fieldwork function.
• Manage, mentor, and develop a team, ensuring high performance and long-term succession planning.
• Drive operational efficiency, quality standards, and best practice across all projects and processes.
• Oversee resource planning, project allocation, and workload management to optimise delivery.
• Build and maintain strong relationships with internal stakeholders and external clients.
• Ensure projects are delivered on time, to budget, and in line with regulatory and industry standards.
• Support the implementation of strategic initiatives and continuous improvement programmes.
• Monitor team performance, training programmes, and operational KPIs.
• Manage departmental costs and support effective workforce planning.

Your Skills & Experience

• Strong commercial experience leading quantitative operations, research operations, or fieldwork teams.
• Background in market research, healthcare research, data collection, or a related environment.
• Proven ability to manage people, projects, and competing priorities in a fast-paced setting.
• Experience improving operational processes and driving high-quality client delivery.
• Strong stakeholder management and communication skills.
• Knowledge of quantitative research methodologies and project lifecycle management.
• Proficiency with survey and research platforms, alongside advanced Microsoft Excel and broader Microsoft Office tools.
• Analytical mindset with excellent problem-solving and organisational skills.

What They Offer

• Competitive salary and benefits package.
• Opportunity to shape and influence a critical operational function.
• Exposure to senior leadership and strategic business initiatives.
• Career progression within a growing and collaborative environment.
• Ongoing professional development and leadership opportunities.

How to Apply

If you are interested in this Director of Quant Operations opportunity, please apply with your CV to discuss the role in more detail.

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