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Evidence Generation Lead - Health Outcomes Research
Company | Oracle |
Address | United States |
Employment type | FULL_TIME |
Salary | |
Category | Biotechnology Research,Hospitals and Health Care,Pharmaceutical Manufacturing |
Expires | 2023-09-07 |
Posted at | 9 months ago |
Oracle's Cerner Enviza division is seeking a qualified health outcomes researcher with a Master’s or PhD to join our Health Outcomes (HO) Research team in the Real World Evidence Group. In this role you will have the opportunity to lead the design, analysis, and publication of health outcome studies (e.g., patient survey studies, large database studies electronic health records, claims, etc.) and provide research consultation to both internal and external clients.
Our research help life science companies develop products that improve people’s lives and well-being. Our blend of consulting, data analytics, and real-world research and evidence enables clients to understand patients, physicians and payers, bring products to market quickly, navigate the regulatory pathway and negotiate payer reimbursement and coverage.
KEY OUTCOMES
As Evidence Generation Lead, you will:
- Successfully lead engagements to ensure client satisfaction and ensure deliverables are sent on time and are of rigorous scientific quality
- Be the Principal Investigator, lead the design and execution of health outcomes studies including writing research proposals, designing questionnaires, overseeing statistical analysis plan (SAP) development, overseeing data analysis, providing analytical interpretation, writing reports, and writing abstracts, posters, and manuscripts
- Mentor junior research staff
- Attend and present at professional conferences
- Be available for travel to support of all of the above responsibilities (~10%)
- Support business development activities to identify opportunities, set appropriate pricing, and submit proposals
CAPABILITIES
To succeed, you will need:
- Knowledge of and experience working with statistics including regression techniques (OLS, logistic regression, generalized linear models), mixed models (e.g., survival and longitudinal analysis), non-parametric approaches, and data reduction techniques (e.g., factor analysis, SEM)
- At least 3 years, additional work experience directly related to the duties of the job and/or completed higher education; preferred PharmD with health outcomes research, PhD in pharmaceutical sciences, epidemiology, health outcomes, or psychology (specifically, social psychology, behavioral science, experimental psychology)
- Must have:
- Highly desirable to have:
- At least 1-year, licensed health care practice, clinical research, epidemiology and/or biostatistics work experience
- A strong publication history with multiple peer-reviewed manuscripts
- Experience in survey design and quantitative methods such as patient-reported outcome measurement development (e.g., Classic Test Theory and IRT knowledge) and/or patient preference studies (trade-off methods and DCE)
- Proficiency in MS PowerPoint, MS Excel, MS Word
- Familiarity with Python or other programming language
- Experience using EHR and/or healthcare claims data
- Ability to multitask several projects in a fast-paced environment
- At least 3 years, total combined related work experience and completed higher education
- Advanced ability to analyze data using SAS, SPSS, Stata, Mplus, and/or R
- Overall background / advanced degrees:
- Excellent oral and written communication skills
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