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美国麻省理工学院生物医学创新中心博士后研究员
文章来源:Hope       更新时间:2017年01月04日

Postdoctoral Associate
 
Job Number: 14346
Functional Area: Research - Other
Department: Center for Biomedical Innovation
School Area: Engineering
Employment Type: Full-Time Temporary
Employment Category: Exempt
Visa Sponsorship Available: Yes
Schedule:

Job Description 

POSTDOCTORAL ASSOCIATE, Center for Biomedical Innovation-MIT NEW Drug Development ParadIGmS (NEWDIGS), to join a “think-and-do-tank” dedicated to reengineering the biomedical innovation system to be more patient-centered and sustainable. The FoCUS (Financing and Reimbursement of Cures in the US) project will assemble teams of stakeholders including industry, payers, investors, patients, and academic researchers to create and pilot innovative financing and reimbursement models for curative medicines in three target area groups (TAGs)--gene therapies, durable oncology treatments, and antibiotics.  Will conduct rigorous research--under the supervision/direction of the health economics and financing researcher and MIT faculty--to design and evaluate models for pilots; suggest, develop, and track impact metrics; meet delivery deadlines; participate in TAG meetings and design labs; assist in pilot implementation/planning; work as part of a team to rigorously evaluate and broadly disseminate learnings to inform real-world implementation and scale-up; and conduct research on innovative incentive and financing tools, market access, adaptive pricing and reimbursement models, health economics and outcomes research, and health policy. 
 

Job Requirements 

REQUIRED:  Ph.D. in finance, health economics, pharmaceutical administration and marketing/pricing, biostatistics, or related field; experience executing research projects involving modeling and simulation designs in the field of health economics and/or finance; excellent written and oral communication skills; demonstrated publication history and experience presenting research; experience with basic office applications, statistics, and statistical programs (e.g., R, SPSS, Stata, SAS); ability to work independently in a multidisciplinary team environment and across multiple projects in a fast-paced entrepreneurial environment; team-orientation; and ability to work with a range of stakeholders outside of field of expertise.  Experience with large-scale data analytics, machine learning, and data visualization desirable.  Job #14346


This is a temporary, one-year position, renewable based on satisfactory performance and available funding.


1/3/17

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

 

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