Project Director

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🕒 2 dias atrás

🚗 Michigan – Remoto

🚗 Michigan – Remote

💵 $148.000 - $249.000 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

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Arbor Research Collaborative for Health

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1997

🔬 Ciência

🏛️ Governo

💊 Farmacêutico

Science • Government • Pharmaceuticals

A Arbor Research Collaborative for Health é uma organização sem fins lucrativos de pesquisa em serviços de saúde e tecnologia que realiza geração de evidências do mundo real, pesquisa clínica e de políticas, e desenvolve plataformas de TI em saúde e dados para informar políticas de saúde, qualidade clínica e resultados dos pacientes. Ela faz parcerias com agências governamentais (incluindo HHS, CMS, NIH), fundações e clientes do setor privado para fornecer serviços de centro de coordenação de dados, registros de doenças e tratamentos, pesquisa de ensaios clínicos, avaliação de métodos mistos e modernização de TI em saúde utilizando nuvem, IA e práticas de desenvolvimento modernas.

Descrição

• Serve as the designated key liaison to MACPAC, holding ultimate accountability for the quality, accuracy, and timeliness of all contract deliverables • Build and sustain a strong working relationship with MACPAC staff, anticipating client needs and proactively addressing emerging issues or risks • Review and approve budget estimates for all task orders before submission to MACPAC's Contracting Officer (CO) and Contracting Officer's Representative (COR) • Monitor contract-level financial performance and make strategic decisions to realign scope or resources when costs are at risk of exceeding estimates • Lead transition planning and implementation, ensuring continuity of programming and data services if Arbor Research is a non-incumbent awardee • Provide senior technical oversight across all data acquisition, storage, management, and analysis activities, ensuring compliance with federal security requirements (FISMA, NIST, FedRAMP) • Set and enforce standards for analytic quality, including code review protocols, output benchmarking, and documentation sufficient to support replication of analyses • Guide the design and implementation of the secure analytic environment and external enclave access for MACPAC staff, ensuring it meets federal security and usability requirements • Hold final accountability for the accuracy and integrity of all data deliverables, including analytic files, table outputs, and methodology documentation • Lead and develop a multidisciplinary team of cloud architect and data engineers, statistical programmers, and support staff, working in close partnership with the Project Manager on day-to-day operations • Ensure the team maintains sufficient capacity, including surge capacity to respond to concurrent and quick-turnaround task orders • Make staffing decisions, including identifying and onboarding personnel with specialized expertise for specific task orders • Hold ultimate responsibility for monthly progress reports and all required contract reporting to MACPAC • Oversee ongoing compliance with federal data security requirements (FISMA, HIPAA, DUA obligations) and ensure documentation is current and audit-ready • Take ownership of security incident response, ensuring MACPAC is notified within 24 hours of any confirmed or suspected incident and that full reports are submitted within five business days.

🎯 Requisitos

• Advanced degree (Master's or PhD) in public health, health policy, economics, statistics, or a related quantitative field • 7+ years of progressive experience in health services research or policy analysis, with at least 3 years in a project or program leadership role • Demonstrated experience managing federal contracts or task-order vehicles, preferably with legislative branch agencies, CMS, or similar health policy organizations • Expert knowledge of Medicaid and/or Medicare administrative data, including T-MSIS, MAX, TAF, CMS-64, or equivalent datasets • Strong familiarity with federal data security frameworks including FISMA, NIST 800-53, and FedRAMP • Experience overseeing statistical programming teams working in SAS, SQL, Stata, Python, or similar languages • Exceptional communication and client relationship skills, with the ability to translate complex technical work into clear policy-relevant findings.