Data Scientist – Healthcare (Causal Inference & Experimentation)

Infojini Inc is seeking a Data Scientist to support advanced analytics within their healthcare portfolio. The role focuses on utilizing healthcare datasets to generate insights that improve patient outcomes and inform data-driven decision-making.

Responsibilities:

• Analyze large-scale healthcare datasets (medical & pharmacy claims, EHR, labs, SDOH)
• Design and execute real-world evidence (RWE) studies
• Apply statistical and quasi-experimental methods to evaluate intervention impact
• Develop predictive and analytical models to support population health strategies
• Analyze patient journeys, care patterns, and provider networks
• Identify healthcare disparities and access barriers
• Translate analyses into actionable insights for stakeholders
• Build dashboards and reporting tools

Requirements:

• At least 2 years of experience working with healthcare datasets such as medical & pharmacy claims, EHR, labs, or SDOH
• 3+ years of hands-on experience applying statistics including hypothesis testing, regression modeling, and causal analysis
• Strong experience applying cohort analysis and quasi-experimental methods to evaluate intervention impact
• Strong proficiency in SQL for large-scale data analysis and Python or R for statistical modeling
• Ability to translate complex statistical analyses into actionable insights for business stakeholders
• Strong understanding of metrics, experiment frameworks, and performance measurement
• At least 3 years of experience in causal inference & experimentation
• In-depth understanding of statistics for data science
• At least 2 years of experience working with healthcare data
• Proficiency in Python and SQL