Research Health Economist
Health Economist
Location: Fully Remote (U.S.-based)
Schedule: Monday–Friday, 8:00 AM–5:00 PM
About The Role
We are seeking an experienced Health Economist to support a newly established Health Economics & Outcomes Research (HEOR)
program. This is an exciting opportunity to play a key role in shaping and leading high-impact projects that inform healthcare decision-making.
The ideal candidate is a self-starter with strong applied health economics expertise, deep experience working with real-world data, and the ability to translate complex analyses into meaningful insights for diverse stakeholders.
- Key Responsibilities
- Lead HEOR projects independently from study design through execution and delivery
- Develop and implement health economic models, including:
- Cost-effectiveness models
- Cost-utility models
- Budget impact models
- Conduct advanced statistical analyses, including:
- Longitudinal and cross-sectional modeling
- Survival analysis
- Meta-analysis and mixed treatment comparisons
- Build and execute Markov (state-transition) models
- Analyze complex real-world datasets (e.g., EMR, claims data)
- Partner with clinicians, researchers, and internal stakeholders to translate business and clinical needs into analytical strategies
- Communicate findings through:
- Publications
- Abstracts
- Presentations
- Contribute to scientific communications, study protocols, and grant submissions
- Stay current with evolving HEOR methodologies, tools, and best practices
- Required Qualifications
- PhD in Economics, Public Health, Health Policy, Statistics, or a related field
- 3+ years of experience in health economics, health services research, epidemiology, or HEOR
- Demonstrated experience building Markov models
- Strong expertise in longitudinal and cross-sectional statistical modeling
- Hands-on experience working with real-world data (claims, EMR, etc.)
- Solid understanding of the U.S. healthcare system, including Medicare and Medicaid
- Proficiency in statistical programming (e.g., SAS, SPSS; R is a plus)
- Proven track record of peer-reviewed publications
- Excellent scientific writing and communication skills
- Strong stakeholder engagement and collaboration experience
- Highly organized with strong project management capabilities
- Advanced proficiency in Excel and PowerPoint
- Occasional team-building events (travel expenses covered)
Location Requirement
Candidates must be located in one of the following states:
Alabama, Alaska, Arizona, Arkansas, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Louisiana, Maryland,
Michigan, Minnesota, Missouri, Montana, Nebraska, New Jersey, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas,
Virginia
Job Type & Location
This is a Permanent position based out of Orlando, FL.
Pay And Benefits
The pay range for this position is $91000.00 - $163000.00/yr.
All the benefits and perks you need for you and your family: Benefits from Day One: Medical, Dental, Vision Insurance, Life Insurance, Disability Insurance Paid Time Off from Day One 403-B Retirement Plan 4 Weeks 100% Paid Parental Leave Career Development Whole Person Well-being Resources Mental Health Resources and Support Pet Benefits
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on May 14, 2026.
About Actalent
Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [email protected] for other accommodation options.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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