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Real World Evidence Manager

2.00 to 6.00 Years   Hyderabad   02 Jun, 2021
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryMedical / Healthcare
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

The Real World Evidence (RWE) Manager will work with the Global RWE teams (including RWE Directors in Global Patient Access and RWE Scientists in Global Medical Affairs) and Novartis country organizations to support the execution of Real World Data (RWD) projects and, in particular, non-interventional studies (NIS). The RWE Manager will support a franchise, and will help enable RWE study execution, documentation, communication, and sharing.Your key responsibilities:Your responsibilities include, but are not limited to: Support project management of non-interventional studies and other RWD projects.o Prepare of project plans, e.g. including governance processes, milestone tables.o Organize key project meetings, e.g. including slides for project updates and discussions.o Support project tracking and reporting, e.g. to regional, country, COE stakeholders.o Support operational aspects of vendors e.g. incl. contracting activities to license and onboard database(s), as necessary.o Manage internal project management, study governance and review systems. Support effective communication on RWE activities and studies.o Facilitate effective communication of research findings internally and externally through development of slide decks, yammer posts and other communication tools. o Support development of an efficient and targeted RWE publications plan.o Support review of abstracts, posters and manuscripts.o Ensure that timelines of the publications development are met. Support implementation of non-interventional studies.o Support NIS document (concept sheet, protocol, analysis plan, report) preparation, e.g. review of literature for related studies, best practices, etc.o Work with Real World Analytics team and Medical experts to generate and align on code lists to be used for RWE study variable generation e.g. working with diagnosis codes (ICD-9/10; Read codes), drug codes, etc. RW data related activities.o Support franchise, and CPOs with identifying RWD sources (e.g. data mapping via literature reviews and desk research).o Support franchises and CPOs with licensing, governance, and onboarding of new RWD sources. Contribute to the development of department-level standards, tools and templates and preparing best practices and sharing in alignment with RWE Director/Scientist. Help on-board new team members, as appropriate, and complete special projects as assigned.Minimum requirements Bachelor s degree plus 6+ years relevant experience ain the pharma industry, contract research organization, healthcare provider / HTA or academic institute; or experience in a closely related discipline within the pharma industry. Or Master s degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. And 3+ years relevant experience conducting research in the pharma industry, contract research organization, healthcare provider / HTA or academic institute; or experience in a closely related discipline within the pharma industry. OrPhD in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. And 2+ years relevant experience conducting research in the pharma industry, contract research organization, healthcare provider / HTA or academic institute; or experience in a closely related discipline within the pharma industry. Experience in project management within a global/matrix environment in the pharmaceutical industry or relevant consultancy. Strong interpersonal skills-ability to quickly build relationships. Prior work experience of RWE execution in a pharmaceutical company or contract research organization is considered a plus. Prior work experience with data from electronic medical records, registry databases and external insurance claims databases is considered a plus. Proven ability to interpret, discuss and represent data relating to the assigned area. Proven ability to work both independently and in a cross-functional team setting. Action oriented - Excellent organization skills, ensuring delivery to target and expectations. Informing - Provides relevant and timely updates to stakeholders, ensuring issues are raised early. Managing and measuring work - Ensures plans are kept up to date and status is regularly reported. Perseverance - Skills in driving outcomes to meet customer needs, with an understanding of how to overcome challenges to meet tight schedules. Strong written/verbal communication skills. Highly effective at providing input at meetings, discussions and activities covering aspects of research data management and analysis on research projects. Flexible - Able to adapt quickly to changing conditions. Strong team spirit.,

Keyskills :
action orienteddata managementproject trackingmedical recordsslide decksdata mappingproject plansinsurance claimsspecial projects

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