RESEARCH SCIENTIST/ENGINEER 4

University of Washington; Seattle (WA); Remote; USD 150,000 - 200,000; Full time

Job summary

The University of Washington seeks a Research Scientist/Engineer 4 for health policy research, focusing on Medicare and Medicaid data analysis. This role requires statistical modeling skills and the ability to collaborate with multidisciplinary teams. The position offers opportunities to impact healthcare quality and policy through research.

Benefits

Generous benefits

Professional growth opportunities

Diverse and inclusive environment

Qualifications

• Master’s in relevant field with 4 years of relevant experience.
• Proven experience with Medicare/Medicaid claims data.
• Excellent command of R and Python required.

Responsibilities

• Conduct statistical analysis using advanced software.
• Manage and clean large datasets.
• Collaborate on grant submissions and present results.

Skills

Statistical Analysis

Data Management

Data Visualization

Communication

Collaboration

Education

Master’s degree in Health Services, Statistics, Data Science, Economics, Epidemiology

Tools

SAS

Stata

SQL

R

Python

Job description

Join to apply for the RESEARCH SCIENTIST/ENGINEER 4 role at University of Washington

3 days ago Be among the first 25 applicants

Join to apply for the RESEARCH SCIENTIST/ENGINEER 4 role at University of Washington

Req #: 246852

Department: DEPARTMENT OF EMERGENCY MEDICINE

Job Location Detail: This position may be fully remote.

Posting Date: 06/11/2025

Closing Info: Closes On 06/18/2025

Salary: $7,466 - $11,051 per month

Limited Recruitment:

Open to UW Employees only


Shift: First Shift

Notes: As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here. (https://hr.uw.edu/benefits/wp-content/uploads/sites/3/2018/02/benefits-professional-staff-librarians-academic-contract-covered-exempt-20250130-a11y.pdf)

The University of Washington (UW) is proud to be one of the nation’s premier educational and research institutions. Our people are the most important asset in our pursuit of achieving excellence in education, research, and community service. Our staff not only enjoy outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty.

We are looking for an exceptional

Research Scientist/Engineer 4 (RS4)

who is interested in collaborating on health policy and population health research with faculty from different departments who are focused on public payer populations, and particularly those with mental health conditions or substance use disorders. The position will involve analysis of Medicaid and Medicare claims data in the CMS VRDC environment, including implementing code to identify cohorts meeting study inclusion criteria, constructing variables, building datasets, and conducting statistical modeling. The RS4 will work closely with faculty that have expertise in causal inference using observational data so will employ these methods in the statistical modeling work.


This position may be fully remote and the candidate need not live in the Seattle area.


This position requires significant experience with claims data, and CMS claims data in particular, as well as the capability to contribute to the design of observational studies and analyses, interpret findings, and present results effectively. This role offers an exciting opportunity to make a substantial impact in healthcare quality, federal and state policy, and alternative healthcare payment models.

The effective candidate will be highly motivated, detail-oriented, a self-starter, and good at working both collaboratively and independently. The successful candidate will have prior work experience analyzing large datasets and familiarity with health insurance claims data. Interests in the health of marginalized and disadvantaged populations is a plus.


DUTIES AND RESPONSIBILITIES

Statistical Analysis/Modeling (50%)

• Use advanced statistical and programming software (SAS, Stata, SQL, R, Python) to conduct exploratory and hypothesis-driven data analysis.
• Solve complex data problems using appropriate methodologies for analyses (advanced regression modeling, econometrics).
• Utilize multiple data environments including the CMS VRDC.
• Independently create data visualizations and tables for internal discussions and for publication/dissemination.Data Management (30%)
• Perform data cleaning and linkage using a variety of large administrative datasets.
• Extract custom cohorts from claims data and create complex longitudinal variables.
• Perform quality check all newly created datasets and variables.Communication, Collaboration, Dissemination (20%)
• Acts as a subject matter expert and authority in the areas of data management and data analysis.
• Provide ideas for new research questions with datasets and contribute to study design.
• Collaborate with co-investigators on grant submissions.
• Attend meetings with research partners, be prepared to take the lead on presenting study design and results and soliciting feedback.
• Participate in the drafting, submission, and publication of study manuscripts.
• May present results at national meetings on behalf of the study team.
• May lead and mentor junior staff and trainees. MINIMUM REQUIREMENTS
• Master’s degree in Health Services, Statistics, Data Science, Economics, Epidemiology, or a related field.
• Four years full time, relevant work experience in a professional setting. Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration. ADDITIONAL REQUIREMENTS
• Proven experience with the analysis of claims data. Candidate must have worked with Medicare and/or Medicaid claims data to a significant degree and have demonstrable work products such as participating in publications or white papers.
• SAS and PROC SQL code development and data retrieval skills for operation in CMS data environment.
• Excellent command in designing and executing code in R or Python.
• Track record of success with co-authorship on multiple scientific papers and representing research at national meetings.
• Excellent written and oral communication skills, including the ability to clearly communicate analyses and findings in research presentations, contribute to the drafting of manuscripts and grants, and command of framing research results for dissemination to stakeholders.
• Demonstrated ability to work with multidisciplinary teams and handle multiple simultaneous and competing projects in a timely fashion.
• Ability to juggle multiple projects simultaneously in a fast-paced environment and ability to work independently in ambiguous situations. DESIRED QUALIFICATIONS
• PhD in Statistics, Data Science, Health Economics, Epidemiology, or a related field.
• Direct experience working on the CMS VRDC.
• Direct experience working with Medicaid claims and/or the TAF.
• Experience with quasi-experimental and econometric modeling in large administrative datasets.
• Experience applying rigorous analyses for policy evaluation across the healthcare continuum.
• Knowledge of CMS alternative payment models, quality reporting programs, and value-based purchasing programs. Application Process: The application process may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment, you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your "My Jobs" page to take when you are access ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
  
  

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

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