数据分析师/健康经济学家 – 美国理赔与真实世界证据
Data Analyst/Health Economist – US Claims & RWE
你是否想加入一家正在改变医疗行业的公司？
Lyfegen通过定价、准入和回扣管理解决方案，帮助弥合更快、更智能获取药物的差距。我们的平台被全球的健康保险公司、政府、医院支付方和制药公司使用，以简化药品定价协议的复杂性，优化回扣，并推动更好的价值。
作为药品准入和回扣管理领域的全球领导者，Lyfegen正在扩大其影响力。随着我们持续增长，我们正在寻找充满热情的专业人士加入我们，共同塑造医疗行业的未来。
我们正在寻找一名数据分析师/卫生经济学家，支持我们的美国咨询团队，将理赔和临床数据转化为影响定价和合同决策的洞察，同时在合同上线后帮助确保已签署的价值基础协议顺利运行。该职位涉及两个相互关联的工作流，均基于同一个核心需求：能够处理和分析大量理赔数据、成本表、支出和使用数据的能力。
在Lyfegen，我们正在解决前所未有的挑战。这就是为什么我们寻找具有积极心态的问题解决者，那些善于将复杂性转化为机遇的人。
加入我们，帮助为患者更快、更智能地获取药物架起桥梁。
你的主要职责：
· 分析大规模的美国理赔数据（Medicare、Medicaid和/或商业）和临床数据集，以支持Lyfegen美国咨询团队的定价和合同建议。
· 支持已签署的价值基础协议（VBAs）的裁定，使用Lyfegen的专有工具审查理赔数据，识别并验证客户可获得的回扣。
· 构建和维护成本表、支出和使用数据的分析，以指导战略建议和日常合同执行。
· 应用卫生经济学方法，如成本效果模型、预算影响模型和比较效果分析，将原始数据转化为可作决策的输出。
· 与咨询和产品团队合作，确保分析结果符合客户需求，技术上可靠，并按时交付。
· 在理赔数据集规模大且复杂的情况下，保持严格的质量控制和验证标准。
你具备以下特质：
· 能够分析大型、复杂且有时混乱的医疗数据集。
· 具备卫生经济学和结果研究方面的知识。
查看英文原文
Do you want to be part of a company that's transforming healthcare?
Lyfegen helps bridge the gap to faster, smarter access with pricing, access, and rebate management solutions. Our platform is used by health insurers, governments, hospital payers, and pharmaceutical companies worldwide to simplify the complexities of drug pricing agreements, optimize rebates, and drive better value.
As a global leader in drug access and rebate management, Lyfegen is expanding its reach and impact. As we continue to scale, we're looking for passionate professionals to join us and help shape the future of healthcare.
We're looking for a Data Analyst / Health Economist to support our US consulting team in turning claims and clinical data into insights that shape pricing and contracting decisions, while also helping keep signed value-based agreements running smoothly once they're live. This role sits across two connected workstreams, both anchored in the same underlying need: the ability to manipulate and analyze large volumes of claims data, cost sheets, spending, and utilization data.
At Lyfegen, we're tackling challenges no one has solved before. That's why we are looking for problem solvers with a proactive mindset, people who thrive on turning complexity into opportunity.
Join us and help bridge the gap to faster and smarter access to medicines for patients.
Your main responsibilities:
· Analyze large-scale US claims data (Medicare, Medicaid, and/or commercial) and clinical datasets to support pricing and contracting recommendations, in partnership with Lyfegen's US consulting team.
· Support the adjudication of signed value-based agreements (VBAs), using Lyfegen's proprietary tools to review claims data and identify and validate rebates the customer is eligible for.
· Build and maintain analyses of cost sheets, spending, and utilization data to inform both strategic recommendations and day-to-day contract execution.
· Apply health economics methods, such as cost-effectiveness modeling, budget impact modeling, and comparative effectiveness analysis, to translate raw data into decision-useful output.
· Collaborate with the consulting and product teams to ensure analysis is client-ready, technically sound, and delivered on time.
· Maintain rigorous QC and validation standards given the scale and complexity of claims datasets.
Who you are:
· Comfortable analyzing large, complex, and sometimes messy healthcare datasets.
· Working knowledge of health economics & outcomes research (HEOR) principles.
· Hands-on experience with US claims data (Medicare, Medicaid, and/or commercial).
· Proficient in SQL; experience with SAS, R, or Python is a strong plus.
· Bachelor's degree or higher, with academic training in health economics, biostatistics, epidemiology, public health, or a related quantitative field; advanced degrees preferred.
· Around 2–5 years of relevant professional experience.
· A proactive, ownership-driven mindset suited to a fast-paced, scale-up environment.
What we offer:
· Join a company that improves access to healthcare for patients.
· Direct influence on the growth and success of Lyfegen.
· A unique opportunity to work at the intersection of payers and pharma.
· Become part of a team of international high performers.
· Opportunities for professional development and career advancement.
· An attractive and competitive compensation package aligned with the dynamic nature of a scale-up start-up.
Originally posted on Himalayas