Researcher, Impact Analytics

Solace

11d • Remote

About The Position

The person in this role will be a foundational member of the Impact Analytics team, conducting rigorous research to demonstrate whether Solace's patient advocacy model improves health outcomes, reduces costs, and increases patient satisfaction. This role reports to the Head of Impact Analytics and will contribute directly to building Solace's evidence base through retrospective studies, claims analysis, and publishable research.
This is an opportunity to apply academic training in a fast-paced startup environment where research directly informs business strategy and clinical operations.

Requirements

• PhD in Public Health, Epidemiology, Health Economics, Outcomes Research, Biostatistics, or closely related field
• Fresh graduates or candidates with approximately 1 year of postdoctoral experience preferred
• SQL for complex querying and data manipulation
• R or Python for statistical analysis and research computing
• Healthcare claims data and EHR/real-world data structures
• Advanced statistical methods relevant to outcomes research (propensity score methods, difference-in-differences, survival analysis, regression techniques, causal inference)
• Inference methods and experimental/observational study design, particularly retrospective studies
• Healthcare data standards (ICD-10, CPT, NDC codes) and Medicare/commercial insurance structures
• Data engineering best practices and pipeline development
• Uncompromising commitment to high-quality, defensible research
• Business sense and ability to deliver on non-academic timelines while making pragmatic research choices
• Strong data intuition and natural curiosity that extends beyond core expertise
• Impeccable attention to detail in code, documentation, and results
• Excellent communication skills with ability to explain complex technical concepts to non-technical audiences
• The ability to write persuasively for varied audiences, including for publication in the scientific literature, for business leaders, and for a non-technical audience
• A peer-reviewed (co)-first author publication based on original work

Nice To Haves

• Experience with healthcare data vendors (claims aggregators, HIE platforms)
• Familiarity with CMS data products
• Prior work in health tech, digital health, or startup environments

Responsibilities

• Design and execute retrospective cohort studies using claims, EHR, and internal platform data to evaluate patient advocacy impact on outcomes, utilization, and spend
• Build and maintain analytical datasets with attention to data quality, integrity, and reproducibility
• Apply advanced statistical methods including propensity score matching, difference-in-differences analyses, and causal inference techniques
• Contribute to data inventory, quality assessments, and identification of internal/external data gaps
• Support vendor evaluation for claims data, HIE platforms, and benchmarking sources
• Partner with clinical, product, and operations stakeholders to identify high-value research questions
• Translate technical findings into clear insights for leadership, clinical teams, and external partners
• Co-author white papers, case studies, and peer-reviewed publications

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees