Staff Consultant, Research
Leads client-facing healthcare research engagements using real-world data, advanced statistical methods, and AI-enabled workflows. Requires an advanced quantitative degree, at least five years of healthcare research or analytics experience, strong client advisory skills, and expertise in RWE/HEOR studies.
About the job
Responsibilities
- Design and execute research studies using real-world healthcare data, applying traditional statistical methods and AI-enabled techniques.
- Lead client conversations and working sessions, present findings, address questions, and adapt analyses based on feedback.
- Distill complex datasets into actionable insights through reports, presentations, and discussions for technical and executive audiences.
- Collaborate with product, data science, clinical, and sales teams to inform product development and strategy.
- Evaluate and pilot AI tools, including enabling and supporting Marmot, Komodo Health’s AI platform.
- Lead client-facing research engagements from scoping through delivery and manage consultative stakeholder relationships.
- Develop methodologies for real-world healthcare data analysis and establish subject-matter expertise in therapeutic or healthcare domains.
Requirements
- PhD or equivalent advanced degree in a quantitative field such as epidemiology, biostatistics, or health economics, or equivalent practical experience.
- At least 5 years of healthcare research or analytics experience, preferably in client-facing consulting or industry.
- Client relationship management experience, including stakeholder dialogue, expectation management, and translating ambiguous questions into research plans.
- End-to-end real-world evidence and health economics and outcomes research studies, including descriptive and causal inference methods such as propensity score matching and inverse probability of treatment weighting.
- Experience using AI or large language model tools such as ChatGPT, Copilot, Claude, Gemini, or comparable assistants, or demonstrated ability to learn new AI tools quickly.
- Strong written and verbal communication skills.
- Track record of leading research projects from inception through completion.
Nice to Have
- Experience with electronic health records and claims data.
- Knowledge of healthcare regulatory, market, and AI-adoption trends.
- Familiarity with statistical methods for longitudinal or hierarchical data.
- Experience building or using AI-powered analytics pipelines or prompt-based research tools.
Compensation and Benefits
- ATS-listed annual base salary: $139,000–$195,000 USD.
- Performance-based bonuses and equity awards may be available.
- Benefits include health, dental, and vision insurance; flexible time off and holidays; 401(k) matching; disability and life insurance; and applicable leaves of absence.
Skills
Real-World Evidence, Health Economics, Outcomes Research, Epidemiology, Biostatistics, Causal Inference, Propensity Score Matching, Inverse Probability Weighting, Electronic Health Records, Claims Data, Longitudinal Data, Hierarchical Data, Generative AI, LLMs, Client Relationship Management
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