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We are seeking candidates for a full-time position to play a key role in supporting a major health policy initiative in New York State (NYS). As part of this initiative, NYU Wagner, working with the NYU Health Evaluation and Analytics Lab (HEAL), will provide analytical support to the Health Equity Regional Organization or HERO, which will be a central hub for consensus-building, planning and coordination around the implementation and evaluation of the New York State Health Equity Reform (NYHER) 1115 Medicaid Waiver Amendment. This waiver will invest up to $7 billion into the NYS Medicaid delivery system over the next three years, allowing the state to pay for services that address health-related services.

NYU Wagner seeks a Senior Research Scientist to co-ordinate and oversee the Wagner-based aspects of the HERO portfolio, supervise Wagner-based analysts, and collaborate with the NYU Langone team. The candidate will lead research to help develop value-based payment options around social determinants of health, and to conduct other HERO-related research. S/he will be responsible for analyzing, and supervising analysis of, NYS Medicaid data and related data, including social needs data.

The ideal candidate for this position will have expertise in health policy, public health surveillance, data science and/or social epidemiology, as well as experience managing teams and collaborations.

Job Responsibilities:

+ Help develop and implement analyses for the HERO portfolio, including making recommendations and strategic decisions

+ Lead data acquisition, matching across datasets, and related analytics

+ Conduct ongoing monitoring by region to track healthcare changes

+ Manage and supervise data analysts and consultants

+ Develop and maintain a system to ensure timely achievement of all HERO project deliverables

+ Create and implement a research agenda for the HERO team

+ Communicate effectively with other project staff and stakeholders

+ Assist in modernization of and updates to the Medicaid data and other workflows

Minimum Qualifications:

+ PhD and 3 years of experience or equivalent combination of education and experience.

+ Superb written communication skills required with exceptional ability to write for both academic and lay audiences. Advanced PowerPoint and visual data display skills a plus.

+ Skilled systems-oriented thinker with demonstrated outstanding analytic capabilities, able to evaluate and summarize a wide range of information from diverse fields and sources

+ Demonstrated expertise and experience working with large systems level data, preferably claims

+ Proven ability to multitask, meet tight deadlines, and to work in a fast-paced environment both independently and as part of a team

+ Ability to interface effectively with all levels of management and to work and communicate effectively with both internal and external collaborators and partners.

Preferred Qualifications:

Substantial experience from having completed Post Doc training. Established a record of publications.

Experience developing protocols, statistical analysis plans and data use agreements

Skilled in large-scale data manipulation using Python or R (or other statistical software)

A solid publication record is an advantage for applicants interested in this position

If interested , please upload your resume and cover letter.

Job Posting Range:

NYU Wagner provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $62,400 - $70,000 annually. Actual salaries depend on a variety of factors. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

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