Health Economics and Outcomes Research Data Scientist
W. L. Gore & Associates · United States
- Hybrid
- Full-time
- $140,000 / year
- United States
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Job highlights
- Analyze clinical and economic data for medical devices.
- Work remotely within the United States.
- Collaborate with diverse internal and external teams.
- Develop health economic models and strategy.
- Utilize large healthcare databases and statistical methods.
About the role
About The Role
We are looking for an experienced Data Scientist to join Gore Medical’s Health Economics and Outcomes Research (HEOR) team. This position has a global focus and covers multiple medical device product lines. You will collaborate with Gore’s team of health economists, market access and reimbursement specialists, brand managers, and other stakeholders to plan and analyze clinical and economic data sourced from a variety of in-house, public-use, and licensed healthcare databases. You will work with multi-disciplinary internal teams and interface with HEOR vendors to design and conduct health economic analyses, summarize and interpret analysis results, and make strategic conclusions and recommendations. You will also prepare and present study reports and publications for both internal and external audiences. Furthermore, you will assist with interpreting the results of data analyses to develop health economic models, including cost-effectiveness/cost-utility and budget impact models of healthcare interventions featuring Gore medical products.
This position offers a fully remote work arrangement in most locations within the United States.
Responsibilities
- Process, integrate, and validate large scale healthcare data sets and real-world data (RWD) from multiple sources including claims, EHR, registry, survey and linked RWD sources while ensuring methodological rigor and data quality.
- Execute complex HEOR data queries and analyses using appropriate programming and statistical techniques.
- Generate analytic reports, tables, and graphics to communicate project findings.
- Apply a deep understanding of healthcare claims, EHR, registry, and real-world evidence (RWE) data to generate innovative insights that bring value to the business.
- Experience conducting systematic literature reviews (SLRs), targeted literature reviews, and meta-analyses.
- Ability to develop and relay evidence gap analyses and lay the groundwork for conducting new research supporting strategic evidence generation.
- Collaborate cross-functionally with marketing, sales, clinical, and regulatory teams to translate evidence findings or gap analyses into actionable insights for the business and support ongoing strategy development.
- Ability to translate clinical value story of product into an economic story and translate findings into customer facing economic collateral, i.e., economic models.
- Experience with leading end-to-end study design and real-world evidence generation strategies that address business needs.
- Lead development of presentation of study reports, dossiers, white papers, as well as assist with developing publications (e.g., abstracts, poster/podium presentations, and peer-reviewed journal manuscripts).
- Support KOL engagements translating methodology of work into comprehensible presentations to be leveraged across multiple mediums of communication.
Required Qualifications
- Minimum of a master’s degree in a quantitative discipline, preferably in the line of healthcare research; examples include mathematics, statistics, data science, epidemiology, health economics, outcomes research, health services research, health informatics, or a related field of study.
- Minimum of 5 years work experience in health economics, outcomes research, and/or HEOR data analytics (experience with health economic modeling a plus).
- Strong experience conducting real world studies using large healthcare claims/EHR databases (e.g., CMS, MarketScan, Premier) for HEOR or related functions.
- Strong working knowledge of biostatistical methods, including experience with conducting statistical comparisons analyses, as well as conducting and interpreting survival analyses and regression modeling.
- Knowledge of U.S. and global healthcare systems, including good understanding about payer/provider decision-making and health technology assessments; familiarity with medical coding terminology (ICD, CPT, HCPCS, UDI, etc.).
- Computer skills: Proficiency with Panalgo Instant Health Data (IHD) healthcare analytics software platform and experience with Microsoft Office, especially Excel.
- Highly effective organizational, analytical, and verbal/written communication skills, with a strong attention to detail.
- Ability to adapt to evolving demands and manage multiple projects simultaneously.
- Ability to work well independently and in cross-functional teams.
- Ability to travel up to 10%.
Desired Qualifications
- Knowledge of database management software (e.g., SQL, Excel), statistical analysis software (e.g., R, SAS, SPSS, and STATA), query/scripting languages (e.g., Python, R, Bash), or data visualization software (e.g., Tableau, Power BI) is a plus.
- Medical device industry experience.
- Strong AI fluency in HEOR studies.
This position offers a remote work arrangement in the country from which the Associate is employed. Eligibility is dependent on the responsibilities of the role and business needs, and the Associate must agree to comply with Gore’s work arrangement policies.
Note: In the United States, restrictions exist for remote work from Alaska, Hawaii and Rhode Island.
Key skills/competency
- Health Economics and Outcomes Research
- Data Science
- Real-World Data (RWD)
- Health Economic Modeling
- Statistical Analysis
- Healthcare Claims Data
- EHR Data
- Systematic Literature Reviews
- Cross-functional Collaboration
- Medical Device Industry
Skills & topics
- Health Economics
- Outcomes Research
- Data Scientist
- HEOR
- Real-World Data
- RWD
- Claims Data
- EHR Data
- Health Economic Modeling
- Statistical Analysis
- Biostatistics
- Market Access
- Reimbursement
- Medical Devices
- Quantitative Analysis
- Epidemiology
- Data Analytics
- Healthcare Analytics
- Panalgo IHD
- R
- SAS
- Python
How to get hired
- Tailor your resume: Highlight your Master's degree and 5+ years of HEOR/data analytics experience. Emphasize RWD, claims/EHR data analysis, and economic modeling skills.
- Showcase technical skills: Detail your proficiency with statistical software (R, SAS) and healthcare analytics platforms like Panalgo IHD. Mention any SQL, Python, or data visualization tool experience.
- Quantify achievements: Use data to demonstrate the impact of your analyses, such as developing models that influenced strategy or publications resulting from your research.
- Prepare for remote interviews: Ensure a stable internet connection and a quiet environment. Be ready to discuss your experience working independently and collaborating virtually.
- Understand HEOR: Demonstrate a strong grasp of healthcare systems, payer decision-making, and medical coding terminology during your interview.
Technical preparation
Master's degree in quantitative field.,5+ years HEOR/data analytics experience.,Expertise in RWD, claims, and EHR data.,Proficiency in statistical software and IHD.
Behavioral questions
Describe a complex data analysis project.,How do you collaborate cross-functionally?,How do you handle evolving project demands?,Explain a finding to a non-technical audience.
Frequently asked questions
- What are the key responsibilities of a Health Economics and Outcomes Research Data Scientist at W. L. Gore & Associates?
- As a Health Economics and Outcomes Research Data Scientist at W. L. Gore & Associates, you will be responsible for processing and analyzing large healthcare datasets (claims, EHR, registries), executing complex HEOR queries, conducting systematic literature reviews, developing health economic models (cost-effectiveness, budget impact), and collaborating with cross-functional teams to translate findings into actionable insights and customer-facing economic collateral. You will also be involved in study design and preparing publications.
- What qualifications are essential for the HEOR Data Scientist role at W. L. Gore & Associates?
- Essential qualifications include a Master's degree in a quantitative field (e.g., data science, statistics, health economics), a minimum of 5 years of work experience in health economics, outcomes research, or HEOR data analytics, and strong experience with real-world studies using large healthcare claims/EHR databases. Proficiency with statistical methods, knowledge of healthcare systems, and computer skills including Panalgo IHD and Microsoft Office are also required.
- Is the Health Economics and Outcomes Research Data Scientist position at W. L. Gore & Associates remote?
- Yes, this position offers a fully remote work arrangement in most locations within the United States. However, specific eligibility depends on the role's responsibilities and business needs, and associates must comply with Gore’s work arrangement policies. Restrictions may apply for remote work from Alaska, Hawaii, and Rhode Island.
- What kind of data will I be working with as an HEOR Data Scientist at W. L. Gore & Associates?
- You will be working with large-scale healthcare data sets and real-world data (RWD) from multiple sources. This includes claims data, electronic health records (EHR), patient registries, survey data, and linked RWD sources. Your role will involve processing, integrating, and validating this diverse data to generate insights.
- Does W. L. Gore & Associates require specific software proficiency for the HEOR Data Scientist role?
- Yes, proficiency with the Panalgo Instant Health Data (IHD) healthcare analytics software platform is required. Experience with Microsoft Office, particularly Excel, is also necessary. While not strictly required, knowledge of database management software (SQL), statistical analysis software (R, SAS), scripting languages (Python, R), and data visualization tools (Tableau, Power BI) is considered a plus.