Definitive Healthcare

Definitive Healthcare

Definitive Healthcare specializes in transforming data and analytics into healthcare commercial intelligence, providing comprehensive insights on hospitals, physicians, and other healthcare providers to help clients navigate and succeed in the healthca...

Professional Services
251-1K
Founded 2011

Description

  • Lead analytics workstreams from business question definition through analysis, modeling, interpretation, and final delivery.
  • Work directly with large healthcare and life sciences datasets, including claims, provider, patient, market, commercial, and real-world data.
  • Write efficient SQL to extract, join, transform, validate, and analyze large datasets.
  • Use Python for data wrangling, automation, statistical analysis, modeling, and repeatable workflows.
  • Apply data science methods such as segmentation, forecasting, classification, regression, clustering, and propensity modeling.
  • Translate ambiguous client and business questions into structured analytical approaches, assumptions, outputs, and timelines.
  • Build client-ready deliverables in PowerPoint, Excel, dashboards, and other reporting formats.
  • Perform QA on data, code, methodology, and outputs to ensure accuracy and defensibility.
  • Support basic data engineering tasks such as dataset creation, data cleaning, feature generation, pipeline logic, and workflow automation.
  • Mentor analysts and junior data scientists and partner with cross-functional teams across analytics, product, engineering, consulting, and client-facing functions.

Requirements

  • 5+ years of experience in data science, advanced analytics, healthcare analytics, life sciences analytics, analytics consulting, or a related quantitative role.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, Public Health, or a related quantitative field.
  • Strong hands-on SQL experience, including complex joins, CTEs, aggregations, window functions, data validation, and performance-aware querying.
  • Strong hands-on Python experience using libraries such as pandas, NumPy, scikit-learn, and statsmodels, or similar tools.
  • Experience working with large, complex datasets and turning them into actionable insights.
  • Practical understanding of data science methods and when to apply them to business problems.
  • Basic understanding of ETL/ELT, data pipelines, data models, data quality checks, and reusable workflows.
  • Experience working in cloud-based or server-based analytics environments such as Databricks, Snowflake, AWS, Azure, GCP, or similar platforms.
  • Strong communication skills with the ability to explain technical work to nontechnical stakeholders.
  • Ability to manage multiple priorities, work independently, and maintain strong attention to detail.
  • Preferred: experience in healthcare, life sciences, pharma, medtech, payer/provider analytics, commercial analytics, or real-world evidence.
  • Preferred: experience with healthcare claims, EHR/EMR, provider, patient, HCP/HCO, prescribing, sales, market access, or similar datasets.
  • Preferred: experience with scripting, Git/version control, notebooks, scheduled jobs, or workflow automation.
  • Preferred: experience with Power BI, Tableau, Looker, Sigma, or similar BI tools.
  • Preferred: exposure to cloud data platforms, scalable compute environments, or production-oriented analytics workflows.

Benefits

  • Salary range of $107,100 to $160,000 per year.
  • Eligibility for a company bonus or commission plan, depending on the position.
  • Medical, dental, and vision coverage.
  • Unlimited paid time off.
  • 401(k) plan with employer contribution.
  • Competitive benefits package including great healthcare benefits and a 401(k) match.
  • Flexible and dynamic culture.
  • Opportunity to work in a fast-growing environment with significant growth potential.

Interested in this position?

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