Real World Evidence Manager

Dec 09, 2021

Job Description

90+, projects delivered by the Real-World Evidence team in 2020. Imagine what we can achieve with the growth of our team across the globe!

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 organisations to support the execution of Real-World Data (RWD) projects and non-interventional studies (NIS). The Real-World Evidence Manager will support a franchise, and will help enable real world evidence study execution, documentation, communication, and sharing.

Your responsibilities:
Your responsibilities include, but are not limited to:
• Support project management of non-interventional studies and other Real World Data projects:
o Prepare of project plans, e.g., including governance processes, milestone tables.
o Organise 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 real world evidence 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 publication’s 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 real world evidence study variable generation e.g., working with diagnosis codes (ICD-9/10; Read codes), drug codes, etc.
• Real world 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 real world evidence sources.
• Contribute to the development of department-level standards, tools and templates and preparing ‘best practices’ and sharing in alignment with Real World Evidence Director/Scientist.
• Help on-board new team members, as appropriate, and complete special projects as assigned.

Diversity & Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Minimum Requirements

What you’ll bring to the role:
• Project management within a global/matrix environment in the pharmaceutical industry or relevant consultancy.
• Prior work experience of real-world evidence execution in a pharmaceutical company or contract research organisation is considered a plus.
• Highly skilled in 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 .
• Action oriented - Excellent organisation 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.
• Highly effective at providing input at meetings, discussions and activities covering aspects of research data management and analysis on research projects.

Desirable requirements:
• Bachelor’s degree plus 6+ years relevant experience a\\in the pharma industry, contract research organisation, healthcare provider / HTA or academic institute; or experience in a closely related field within the pharma industry.
• Or a master’s degree(plus 3+ years’ experience) or PhD(plus 2+years’ experience) in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. Experience is conducting research in the pharma industry, contract research organisation, healthcare provider / HTA or academic institute, or experience in a relevant area within the pharma industry.

You’ll receive:

Competitive salary, Annual bonus, Pension scheme, Share scheme, Health insurance, 25 days annual leave, Flexible working arrangements, subsidised dining facilities, Employee recognition scheme, learning and development opportunities.

Why consider Novartis?
769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity, and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!

Imagine what you could do at Novartis!

Novartis Ireland Ltd. has been certified as a Top Employer 2021 by the Top Employers Institute for its exceptional employee offerings.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:

#LI-NOV = Novartis
United Kingdom
Market Access
Full Time
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Real World Evidence Manager

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