高级医疗信息分析员（药房分析）
Senior Healthcare Informatics Analyst (Pharmacy Analytics)
职位名称：高级医疗信息学分析师（药房分析）
签证类型：USC、GC
工作地点：100%远程（候选人必须居住在以下批准的州：AL, AR, DE, FL, GA, ID, IN, IA, KS, KY, MS, MO, NH, NE, NC, OK, SC, SD, TN, TX, UT, VA, WV, WI）
公司简介
Glint Tech Solutions 是一家由女性拥有的全球IT人力资源和招聘公司，为美国和加拿大的企业客户提供服务。
项目描述
一家领先的医疗保险公司客户正在寻找一名高级医疗信息学分析师，以支持以药房为中心的环境。被选中的候选人将独立提供高级分析，以支持对药房福利使用、成本、质量和临床结果的理解和改进，与药房、临床、精算、财务和IT合作伙伴合作，开发与使用管理、药物成本优化、处方集表现、药物依从性和提供者/会员药房参与相关的分析属性。
主要职责
- 领导选择和应用以药房为重点的分析、评估和BI方法，以支持业务决策和战略规划
- 利用药房索赔数据、PBM数据流、EDW和非EDW数据源，提供可操作的见解
- 独立与业务团队合作，定义药房分析需求，并开发预测模型、仪表板、使用分析和绩效指标
- 在企业级和跨职能项目中担任药房分析顾问
- 将药房业务规则和政策转化为分析模型和报告解决方案，作为药房、分析、IT和EIM团队之间的联络人
- 执行同行数据质量审查，确保药房分析输出的准确性、完整性和一致性
- 进行与药物使用、依从性、成本驱动因素和临床结果相关的高级描述性和统计分析
- 确保符合所有与药房数据和分析相关的适用法律和法规
必备技能
- 医疗保健管理、药学、公共卫生、统计学、经济学、分析学、计算机科学或相关领域的学士学位（4年相关经验可替代；硕士可替代2年，博士可再替代2年）
- 4年以上医疗分析经验，有药房或PBM分析经验
- 具有分析药房索赔、处方集表现、药物组合、使用趋势等的经验
查看英文原文
Job Title: Senior Healthcare Informatics Analyst (Pharmacy Analytics)
Visa: USC, GC
Location: 100% Remote (candidate must reside in an approved state: AL, AR, DE, FL, GA, ID, IN, IA, KS, KY, MS, MO, NH, NE, NC, OK, SC, SD, TN, TX, UT, VA, WV, WI)
Company Overview
Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.
Project Description
A leading healthcare payer client is seeking a Senior Healthcare Informatics Analyst to support a pharmacy-centric environment. The selected candidate will independently provide advanced analytics to support understanding and improvement of pharmacy benefit utilization, cost, quality, and clinical outcomes, developing analytic attributes related to utilization management, drug cost optimization, formulary performance, medication adherence, and provider/member pharmacy engagement in collaboration with Pharmacy, Clinical, Actuarial, Finance, and IT partners.
Key Responsibilities
- Lead the selection and application of pharmacy-focused analytic, evaluation, and BI methodologies to support business decisions and strategic planning
- Leverage pharmacy claims data, PBM feeds, EDW, and non-EDW data sources to deliver actionable insights
- Independently partner with business teams to define pharmacy analytics needs and develop predictive models, dashboards, utilization analyses, and performance metrics
- Serve as a pharmacy analytics advisor on enterprise and cross-functional initiatives
- Translate pharmacy business rules and policies into analytical models and reporting solutions, acting as a liaison between Pharmacy, Analytics, IT, and EIM teams
- Perform peer data quality reviews to ensure accuracy, completeness, and consistency of pharmacy analytics output
- Conduct advanced descriptive and statistical analyses related to drug utilization, adherence, cost drivers, and clinical outcomes
- Ensure compliance with all applicable laws and regulations associated with pharmacy data and analytics
Mandatory Skills
- Bachelor's degree in healthcare administration, pharmacy, public health, statistics, economics, analytics, computer science, or related field (4 years of relevant experience may substitute; Master's may substitute for 2 years, Doctorate for an additional 2 years)
- 4+ years of healthcare analytics experience, with pharmacy or PBM analytics experience
- Experience analyzing pharmacy claims, formulary performance, drug mix, utilization trends, rebates, and adherence metrics (PDC/MPR)
- Strong critical thinking, analytical, and problem-solving skills
- Experience building predictive and explanatory models related to pharmacy utilization, cost, and outcomes
- Advanced knowledge of SAS (including Enterprise Miner)
- Strong working knowledge of the U.S. healthcare system in a payer setting, with specific understanding of pharmacy benefits and PBM operations
- Proficiency with SQL, SAS, R, Python, Tableau, or similar analytic/visualization tools
- Databricks experience
- Ability to translate complex pharmacy analytics into clear insights for executive, clinical, and technical audiences
Nice-to-Have Skills
- Knowledge of pharmacy outcomes research, utilization management, and drug trend analysis
- Domain expertise in pharmacy pricing and payment methodologies (AWP, WAC, MAC, rebates, trend drivers)
- Population health and pharmacy-driven interventions
- Risk adjustment concepts and pharmacy's role in total cost of care
- Clinical groupers and classification systems (GPI, NDC, therapeutic class, DRG, HCC)
- Pharmacy-related quality metrics (HEDIS medication measures, STAR ratings)
- Knowledge of commercial and Medicare Advantage pharmacy optimization
Originally posted on Himalayas