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Remote Health Outcomes Research Jobs (NOW HIRING)

Cristcot

Health Outcomes Liaison (East)

$67K - $89.60K/yr

This role participates in HEOR and RWE research with the goal to contribute to the development and communication of clinical, real-world, health economics outcomes data. Primary Relationships

Cristcot

Health Outcomes Liaison (West)

$67K - $89.60K/yr

This role participates in HEOR and RWE research with the goal to contribute to the development and communication of clinical, real-world, health economics outcomes data. Primary Relationships

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Remote Health Outcomes Research information

What are the key skills and qualifications needed to thrive as a Remote Health Outcomes Researcher, and why are they important?

To thrive as a Remote Health Outcomes Researcher, you need a strong background in epidemiology, biostatistics, and data analysis, typically supported by an advanced degree in public health, pharmacy, or a related field. Familiarity with statistical software (such as SAS, R, or STATA), database management systems, and experience with real-world evidence or health economics are often required. Excellent written and verbal communication, critical thinking, and collaborative skills set standout professionals apart in this position. These competencies enable accurate study design, effective data interpretation, and clear dissemination of research findings that inform healthcare decision-making.

What are some typical challenges faced by professionals in remote health outcomes research, and how can they be addressed?

Professionals in remote health outcomes research often encounter challenges related to data access, collaboration with cross-functional teams, and maintaining data security. Working remotely can make it harder to coordinate with clinical partners or access proprietary databases, so establishing clear communication channels and using secure collaboration platforms is essential. Additionally, ensuring compliance with privacy regulations like HIPAA requires extra vigilance when handling sensitive patient data outside of traditional office settings. Regular virtual meetings and leveraging project management tools can help keep projects on track and foster teamwork.

What is remote health outcomes research?

Remote health outcomes research is the study and analysis of patient health results, quality of care, and healthcare interventions conducted outside of traditional on-site settings. This work is typically performed using digital tools, telecommunication, and data analysis platforms, allowing researchers to collect and study data from a distance. The goal is to assess the effectiveness and value of medical treatments, procedures, or healthcare systems to improve patient outcomes. Working remotely in this field enables collaboration across locations and often provides more flexibility for researchers. It also expands the reach of research studies to more diverse populations.
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Remote Health Outcomes Research jobs near you
Infographic showing various Remote Health Outcomes Research job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 73% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 60% Physical, 2% Hybrid, and 38% Remote job distribution.
Health Economics and Outcomes Research Scientist

Health Economics and Outcomes Research Scientist

ALKU

Manhattan, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Health Economics and Outcomes Research Scientist Background: Our client seeks a Health Economics & Outcomes Research (HEOR) Scientist to support the Medical Affairs modeling group in advancing the economic and clinical evidence base for an in‐market diagnostic product. This fully remote, full‐time role focuses on developing and executing health economic models, specifically microsimulation and cost‐effectiveness models built in Python, to demonstrate the product's value to patients, providers, payers, and policymakers. The position requires strong quantitative and analytical skills, familiarity with health economic modeling methods, and the ability to work collaboratively in a fast‐paced, research‐driven environment.

Key Responsibilities: Develop, refine, and execute microsimulation and cost‐effectiveness models to evaluate health and economic outcomes. Perform large‐scale data analyses and experimentation to inform model inputs and assumptions. Support health outcomes and real‐world evidence (RWE) projects by integrating clinical, economic, and epidemiological data.

Apply Python programming to develop reproducible, data‐driven models while leveraging cloud computing platforms such as AWS or Databricks. Conduct probabilistic sensitivity analyses, scenario testing, and model validation to ensure methodological rigor. Communicate findings effectively to internal and external stakeholders through reports, visualizations, and presentations.

Collaborate with cross‐functional partners in Medical, Market Access, and Regulatory Affairs to ensure alignment on model objectives and outcomes. Document modeling approaches, assumptions, and methodologies in a clear and transparent manner suitable for publication or submission. Adhere to company policies, quality management procedures, and data security standards.

Qualifications: Graduate degree in Health Economics, Operations Research, Epidemiology, Public Health, Mathematical Modeling, or a related quantitative field. Proven experience developing or supporting health economic and outcomes research models. Proficiency in Python, including data manipulation, statistical modeling, and visualization.

Familiarity with cloud‐based computing environments such as AWS or Databricks. Understanding of cost‐effectiveness analysis, health technology assessment, and economic evaluation frameworks. Ability to translate complex analytical findings into actionable insights for diverse audiences.

Strong written and verbal communication skills with demonstrated attention to detail. Ability to manage multiple projects independently and deliver results within defined timelines. Record of research publications or experience in scientific manuscript development preferred.

Seniority level Mid‐Senior level Employment type Contract Job function Consulting #J-18808-Ljbffr

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