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Job Req ID:  114070

Data Scientist- Health Policy Modeling

The Center for Health Systems and Policy Modeling at Johns Hopkins University, led by Dr. Melinda Buntin, is seeking a motivated and experienced individual to serve as our Data Scientist – Health Policy Modeling. This individual will play a key role in developing and implementing predictive models, simulation techniques, and economic analyses to address complex challenges in health care policy, spending, and delivery. This role, which will report directly to Dr. Buntin, requires robust programming experience, practical experience building and deploying models, and an interest in working on a fast-paced, growing team applying novel research approaches to issues in health policy, health care spending, and payment reform.


The Center for Health Systems and Policy Modeling was founded in July 2023 under the leadership of Dr. Melinda B. Buntin, Bloomberg Distinguished Professor of Health Policy and Economics. The Center, affiliated with both the Bloomberg School of Public Health and the Carey Business School, aims to address emerging issues in health policy with rigorous empirical work with the goal of providing insights to policymakers, business, and the health care sector on how to improve health care delivery and outcomes.


The ideal candidate will be eager to work as part of a team, curious about health policy, and a self-starter able to effectively communicate progress and work collaboratively. This is a hybrid role with flexible hours, requiring 2-3 days/week in person at JHU’s Washington, DC campus.


Specific Duties & Responsibilities

  • Design and develop predictive models, simulation tools, and decision support systems to analyze health care policy options.
  • Apply mathematical optimization techniques and simulation methods to address emerging issues in health policy and spending.
  • Validate and refine models using real-world data, sensitivity analyses, and validation studies.
  • Leverage econometric modeling techniques to estimate the effects of changes in health care delivery and payment systems.
  • Produce scholarly research articles for publication in academic journals.
  • Contribute to grant proposals, research projects, and collaborative initiatives aimed at improving health care delivery and outcomes.
  • Communicate research findings and model results effectively to stakeholders, policymakers, business leaders, and the health care sector.
  • Mentor and provide guidance to junior team members on modeling techniques, best practices, and research methodologies.
  • Collaborate with internal and external partners, including government agencies, industry stakeholders, and academic institutions, to leverage data resources and expand the reach of modeling research.
  • Stay informed of advancements in modeling techniques, statistical analysis methods, and health policy research to inform ongoing projects and future directions.


Minimum Qualifications
  • Master’s Degree in Mathematics, Statistics or Computer Science or related field.
  • Requires 5 or more years of relevant quantitative research and analytics experience.
  • Requires 2 years of complex programming experience.


Preferred Qualifications
  • PHD Degree preferred.
  • Experience developing and deploying predictive and prescriptive models.
  • Practical experience with mathematical optimization problems and simulation and/or performing advanced statistical analysis.
  • Programming experience with at least one high-level modeling system (i.e., R, Python, Julia, Mat lab, SAS).
  • Proficiency in model validation and verification techniques.
  • Familiarity with causal inference, longitudinal data analysis, and regression analysis.
  • Experience generating technical reports and journal articles for peer-reviewed publication.
  • Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems.
  • Experience working with health care data (including, but not limited to, health insurance claims data).
  • Experience with or knowledge of AI code generators.
  • Familiarity with health economic concepts, including value-based payment.
  • Demonstrated ability to mentor and train junior team members in modeling techniques and best practices.
  • Strong presentation skills and experience communicating complex technical concepts to non-technical stakeholders.
  • Proactive problem-solving skills, with the capacity to identify challenges, propose innovative solutions, and implement them effectively.
  • Demonstrated ability to work independently, exercise discretion and mature judgment, and manage competing priorities at once.

 

 

Classified Title: Data Scientist 
Job Posting Title (Working Title): Data Scientist- Health Policy Modeling   
Role/Level/Range: ATP/04/PH  
Starting Salary Range: $115,400 - $202,000 Annually ($175,000 targeted; Commensurate with experience) 
Employee group: Full Time 
Schedule: Monday to Friday: 8:30 am – 5 pm 
Exempt Status: Exempt 
Location: Hybrid/District of Columbia 
Department name: ​​​​​​​HPM HSPM  
Personnel area: School of Public Health 

 

 

Total Rewards
The referenced base salary range represents the low and high end of Johns Hopkins University’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.

Education and Experience Equivalency
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.

Applicants Completing Studies
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.

Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.

Diversity and Inclusion
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.

Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf

Accommodation Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit https://accessibility.jhu.edu/.

Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Hybrid: On-site 2-3 days a week

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