HEOR Intern, Real-World Evidence

Remote, United States Job Type: intern Division: Precision AQ Business Unit: Evidence Solutions Requisition Number: 6623 Essential duties include but are not limited to: Responsibilities Help streamline internal processes – work directly with the Precision leadership to improve processes and efficiency; investigate optimal research techniques and implementation strategies; update existing tools and documentation to increase adherence to best practices; support development and refinement of interactive tools that use existing real-world evidence analyses. Support ongoing research projects – assist with literature reviews on diverse healthcare topics; help with real-world evidence studies including protocol development, data programming, and results; develop interactive summaries of real-world evidence analyses; help interpret and communicate quantitative and qualitative findings to internal and external audiences; contribute to reports, results tables, presentations or peer-reviewed manuscripts; participate in client-facing activities; provide administrative project support. Qualifications Required: Enrolled in a public health (epidemiology, biostatistics, bioinformatics), economics, data science, life sciences, or healthcare related undergraduate, or preferably, graduate program at an academic institution at the time of recruitment. Other Required: Proven interest in public health, life sciences, or pharmaceutical research and analytics Research experience in epidemiology, public health, health services research, health policy, economics or related fields Foundational knowledge of epidemiologic concepts such as observational study designs, measures of association, and common sources of bias and confounding Familiarity / competency with statistical programming tool such as R, SQL, SAS or similar platform Ability to work effectively both individually and as part of a team Detail oriented with exceptional interpersonal and time management skills Keen interest in learning and sharing knowledge Strong academic record Proficiency with Microsoft Office Preferred: Enrolled in life sciences related advanced degree program Strong understanding of the scientific method; formal training in quantitative methodologies Familiarity with interactive data visualization tools such as R Shiny, Power BI, Tableau, or equivalent platforms Familiarity with working in virtual AWS environment, Git, and Github Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at View email address on click.appcast.io. #J-18808-Ljbffr Precision Medicine Group, LLC.