1 день назад
Healthcare Data Scientist (AI)
110 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Healthcare Data Scientist (AI) (SQL/Python/R): Developing predictive, statistical, and machine learning models for pharmacy and medical claims data within a healthcare analytics platform with an accent on cost and utilization management, data quality, and client decision-making. Focus on preparing complex healthcare datasets, building reusable analytical code, supporting AI roadmap initiatives, and communicating actionable findings to technical and non-technical stakeholders.
Location: Remote, anywhere in the continental United States. Some travel, up to 10%.
Salary: $110,000–$140,000 per year, with potential bonus eligibility and benefits.
Company
EPIC Insurance Brokers & Consultants is a nationwide insurance brokerage and consulting company, and Pharmaceutical Strategies Group (PSG) is its healthcare and pharmacy intelligence business.
What you will do
- Develop, maintain, and scale predictive, statistical, and machine learning models for healthcare and drug management initiatives.
- Analyze pharmacy claims, medical claims, and other complex healthcare datasets to identify trends, outliers, cost-management opportunities, and insights that improve health outcomes.
- Prepare, clean, transform, and validate data for analytics, reporting, dashboards, and model development.
- Write clean, reusable, and testable analytical code using SQL, Python, or R; maintain reference tables and product datasets.
- Support AI roadmap initiatives, reporting automation, reusable analytical workflows, and model-related processes.
- Collaborate with clinicians, consultants, analysts, product leaders, data engineers, and other stakeholders to define requirements and communicate findings.
Requirements
- At least 2 years of experience in data science, analytics, statistics, healthcare analytics, informatics, or a related analytical role.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline.
- Experience with healthcare, pharmacy/PBM, medical claims, financial, or similarly complex data.
- Working knowledge of SQL and proficiency with Python or R for data analysis, statistical modeling, machine learning, or automation.
- Understanding of statistics, predictive modeling, supervised and unsupervised learning, regression, classification, clustering, forecasting, and model evaluation.
- Ability to communicate clearly with technical and non-technical stakeholders, work independently, and collaborate across functions.
Nice to have
- Experience with healthcare cost, utilization, clinical, pharmacy, PBM, or drug management analytics.
- Exposure to time-series forecasting, anomaly detection, natural language processing, or AI-enabled reporting.
- Knowledge of data privacy, data governance, HIPAA considerations, and secure handling of sensitive healthcare information.
- Experience with dashboards, reporting automation, reusable analytical workflows, or model deployment.
- Advanced Excel skills or a master’s degree and relevant coursework.
Culture & Benefits
- Remote work within the continental United States with a collaborative, cross-functional environment.
- Paid time off, paid holidays, early-close days, and parental and other leave programs.
- 401(k) matching, medical, dental, and vision insurance, wellness programs, and employee assistance.
- Mentorship, tuition reimbursement, leadership development, recognition programs, and employee resource groups.
- Additional benefits include pet insurance, identity theft and fraud protection, legal planning, and family planning support.
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