HEOR Intern, Real-World Evidence

Essential duties include but are not limited to:
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 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.Reasonable estimate of the current range$20—$20 USDAny data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
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 [email protected].
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