Research Scientist, Health Economic Modeling

Accountabilities:

- Conduct targeted literature reviews to identify and summarize model inputs, methodologies, and evidence used in previous health technology assessments, while identifying key considerations for new model development.

- Support senior team members in conceptualizing and designing cost-effectiveness models, budget impact models, treatment sequencing analyses, and other health economic evaluations.

- Program, parameterize, validate, and maintain economic models, primarily using Microsoft Excel and VBA, and conduct analyses to assess model outputs and implications.

- Interpret study findings and translate complex analytical results into clear insights for both technical and non-technical stakeholders.

- Contribute to client-ready deliverables, including model protocols, economic models, slide decks, technical reports, and peer-reviewed publications, under the guidance of senior team members.

- Perform detailed quality checks on your own work and, where appropriate, review the work of colleagues to help ensure accurate, consistent, and high-quality outputs.

- Support project delivery by collaborating with team members, monitoring assigned project components, and proactively communicating changes to expected timelines or required effort.

- Contribute to client management by preparing presentation materials, participating in client calls, drafting meeting minutes, and summarizing decisions and action items.

- Communicate with clients as needed and support senior team members in responding to client questions and requests.

- Share knowledge with colleagues, contribute to methodological discussions, and continuously develop expertise in health economics and outcomes research.

Requirements:

- 2–4 years of professional experience, ideally in consulting or research environments serving pharmaceutical, biotech, healthcare, or related clients, with a focus on health economics and outcomes research.

- A Master’s degree in a relevant health services research discipline, such as health economics, public policy, health policy, epidemiology, biostatistics, public health, biology, biochemistry, or a related scientific field.

- Proficiency with Microsoft Office, particularly Microsoft Excel and Visual Basic for Applications (VBA), with the ability to develop and work with economic models.

- Strong analytical reasoning and problem-solving skills, with the ability to evaluate evidence, identify relevant insights, and apply findings to health economic analyses.

- Experience preparing clear written documentation and presenting analytical results using Microsoft Word and PowerPoint.

- Excellent written and verbal communication skills, with the ability to explain technical concepts and study findings to both technical and non-technical audiences.

- Strong organizational, multitasking, and time-management skills, with the ability to manage project components and meet deadlines in a collaborative environment.

- A willingness to learn, share knowledge, and contribute to a diverse and multidisciplinary team.

- Ability to work effectively both independently and collaboratively while maintaining strong attention to detail and quality.

- A PhD in a relevant health services research or scientific discipline is advantageous.

- Proficiency in R or R Shiny is advantageous, as is a track record of relevant peer-reviewed publications.

Benefits:

- Competitive U.S. salary range of $84,000–$110,000 USD .

- Eligibility for a discretionary annual bonus.

- Health insurance coverage.

- Retirement savings benefits.

- Life insurance and disability benefits.

- Parental leave.

- Paid time off, including sick leave and vacation.

- Opportunity to work on innovative HEOR and evidence synthesis projects with pharmaceutical and biotech clients.

- Exposure to a specialized multidisciplinary team of health economists, statisticians, and researchers.

- Growth opportunities within a high-performing team tackling complex methodological challenges.

- Fast-paced environment combining the energy of a startup with the resources of an established, well-funded global organization.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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