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Health Economist (Mayo Clinic, Jacksonville, FL)
In collaboration with Mayo Clinic in Jacksonville, FL, the Health Economist will be a highly flexible, collaborative and innovative individual, committed to provide the best possible service to our customer and other stakeholders. The Health Economist will actively involve all stakeholders, both from Siemens Healthineers and Mayo Clinic in the design and implementation of economics and outcomes analyses, health economics and outcomes research studies and publications. The incumbent will undertake a range of analytical and modeling activities that will advance health economics & outcomes research (HEOR) objectives, and identifying the best methods based on clinical, operational and research goals and available resources for Healthineers and Mayo Clinic, Jacksonville FL. The Health Economist will publish the research results in peer-reviewed journals when applicable.
Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. It is a nonprofit organization committed to clinical practice, education, and research, providing whole-person care to everyone. With three campuses in the U.S., Mayo Clinic in Jacksonville, FL provides patient-focused innovative health care and clinical expertise in various specialties. Mayo Clinic Hospital in Jacksonville, Florida is a 304-bed facility that provides essential clinical care services for patients and trains clinical professionals of tomorrow. As per the Mayo Clinic model, specialists provide services in more than 40 medical and surgical specialties while simultaneously conducting innovative research and providing world-class medical education. Mayo Clinic, Jacksonville, FL is acclaimed for its leading practice and research in the neurosciences, transplant medicine, and cancer treatment. The campus is currently in the midst of substantial growth and expansion, with construction currently underway to increase the size of the Mayo Clinic Hospital by approximately 40% as well as the installation of the first carbon ion therapy facility in North America. For more information, visit www.mayoclinic.org/patient-visitor-guide/florida
Interested and qualified candidates may also be considered for an academic faculty appointment at Mayo Clinic.
The primary location for this position is Mayo Clinic in Jacksonville, Florida.
The primary responsibilities of this role are:
• Lead hospital and department level database analysis projects focused on efficiency and outcomes and use those projects to develop recommendations or insights.
• Lead large, complex quantitative modeling projects including cost-effectiveness, budget impact, cost-comparison, cost consequence and hospital-based health technology assessment (HTA) models.
• Development of analytic insights and models using various hospital databases and associative linkages.
• Implement programming of high complexity models, using various modeling applications (Microsoft Excel, R, TreeAge, Python, WinBUGS).
• Conduct quality control checks on analytical projects and model calculations; identify issues with model predictions and recommend solutions.
• Conduct targeted literature reviews, systematic literature reviews, and meta-analyses.
• Research, prepare, and coordinate scientific deliverables, including high-quality publications and abstracts for medical/scientific conferences resulting in oral, electronic, and poster presentations.
• Contribute to best practices for the team as it relates to economic evaluations, model development and validation, data organization and programming standards.
• Keep apprised of technical developments in the field and share best practices.
• Manage projects with minimal supervision and coordinate production of deliverables.
• Build relationships in research collaborations with health economists, physicians, research, operations, and clinical staff, and mentor junior staff.
Requirements & Capabilities:
• Relevant research experience and at least 3 years (with PhD), preferably experienced working with hospitals, academic institutions, or medical devices and diagnostics.
• Track record of hospital data analytics, HEOR modeling and outcomes publications in peer-reviewed journals.
• Experience with hospital data sources (electronic health records) and databases (radiology, laboratory etc.) for analysis and development of analytic dashboards or models.
• Understanding of simulation methods (Markov models, discrete-event simulation, etc.), optimization (linear, non-linear, stochastic), survival/mortality analysis, and statistical modeling (logistic, ordinal, regressions, etc).
• Demonstrated analytical and creative problem solving.
• Ability to manage and proactively identify prioritized tasks for multiple concurrent projects.
• Strong written and spoken communication skills and experience developing interpersonal relationships with internal and external stakeholders.
• Demonstrated ability to make effective decisions independently and to work in a fast-paced matrix environment with minimal supervision.
• Demonstrated ability to engage, influence and develop customer/partner strategies.
• Knowledge of Siemens Healthineers solution & product landscape is preferred.
Who we are: We are a team of more than 73,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
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