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Oracle · 1 month ago

Snr Research Consultant

United States

Full-time

Remote

Senior Level

6+ years exp

Oracle Life Sciences is seeking a qualified health outcomes researcher with a PhD to join our Health Outcomes Research team in the Real World Evidence Group. In this role, you will lead the design, analysis, and publication of health outcome studies while providing research consultation to clients.

Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware

No H1B

Responsibilities

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

Successfully lead engagements to ensure client satisfaction and ensure deliverables are sent on time and are of rigorous scientific quality

Support business development activities to identify opportunities, set appropriate pricing, and submit proposals

Mentor junior research staff

Attend and present at professional conferences

Be available for travel to support of all of the above responsibilities (~10%)

Qualification

Health outcomes researchSurvey designStatistical analysisData analysis using SASPhD in relevant fieldPublication historyMultitasking abilityMS OfficeEHR dataPythonCommunication skills

Required

At least 6 years, total combined related work experience and completed higher education

At least 1 year work experience in life sciences consulting with proven ability to execute real world research studies

At least 5 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)

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)

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)

A strong publication history with multiple peer-reviewed manuscripts

Advanced ability to analyze data using SAS, SPSS, Stata, Mplus, and/or R

Excellent oral and written communication skills

Ability to multitask several projects in a fast-paced environment

Proficiency in MS PowerPoint, MS Excel, MS Word