Senior RWE Manager

Major accountabilities:

• Support the development and implementation of RWE strategies across multiple molecules with a service mindset, in collaboration with internal partners, to ensure that the value of our medicines is supported by evidence both globally and locally.

• Support cross-functional Real World Evidence teams consisting of internal partners with the clear objective to deliver scientifically valid and robust evidence to support all stages of product development, and to drive global and local value demonstration.

• Lead non-interventional studies and other RWD projects and stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and innovative approaches; identify new ideas for RWE that are specific and measurable and promote an innovative mindset throughout the organization

• Apply rigor in study design and analytical methods; design a fit-for-purpose analysis plan, assess innovative and more effective ways of presenting and delivering the results to maximize impact and interpretability; implement and/or oversee the study, including its reporting; ensure compliance with applicable pharma industry regulations and standards.

• Support RWE innovations and effective communication to internal stakeholders, regulatory, health technology assessment (HTA) bodies and scientific communities; continuously strive to publish results in peer-review journals and conferences; participate in external meetings and forums as a thought-leader (e.g. congress/conference).

• Support functional, cross-functional, enterprise-wide or external RWE communities, networks, collaborations, initiatives or goals on knowledge-sharing, methodologies, innovations, technology, IT infrastructure, policy-shaping, processes, etc. to enable broader and more effective use of data and analytics to reimagine cancer treatment

• Lead effective communication on RWE activities and studies.

• Support the development of the Global Business Solutions RWE service and contribute to the development of department-level standards, tools and templates and preparing ‘best practices’ and sharing in alignment with RWE Director/Scientist.

• Mentor/coach colleagues to improve in their role with both personal and technical skills and help on-board new team members, as appropriate, and complete special projects as assigned.

Key performance indicators:

• Performance will be measured annually based on specific objectives. These objectives are set in conjunction with the associate’s manager. 

• Timely execution of role accountabilities

• Timely escalation in case of issues

• Successful implementation of RWE and Digital function defined best practices

• Act in accordance with the Novartis Values and Behaviors in all aspects of the job.

Minimum Requirements
Education:

Master’s degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. Substantial relevant experience expected 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.
    
    Or
    
PhD in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics or similar. Relevant experience expected conducting research in the pharma industry, con-tract research organization, healthcare provider / HTA or academic institute; or experience in a closely related disci-pline within the pharma industry.

Skills:

• Strong team spirit and service mindset.

• Deep understanding and experience of Real World Data/Real World Evidence or related disciplines to generate scientifically rigorous and value evidence from secondary data sources. 

• Experience/knowledge in causal inference methods including propensity score matching, inverse probability of treatment weights.

• Strong experience and excellent knowledge of observational and/or epidemiological research and statistical methods.

• Demonstrated track record of leading and executing research projects with no or minimal supervision using real world data from claims, electronic health records, registries, biobanks, and/or digital applications. 

• Proven ability to interpret, discuss and represent data relating to the assigned area.

• Demonstrated ability to publish study results in peer-review journals and conferences.

• Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges.

• Excellent collaboration and communication skills. Proven ability to translate and communicate complex ideas, concepts and RWE solutions to diverse audiences

• Proven ability to work both independently and in a cross-functional team setting.

• Proven ability to develop and successfully implement new strategies and ideas. Well organized and results focused, ability to meet difficult timelines in a dynamic environment 

• Action oriented - Excellent organization, interpersonal and influencing skills, ensuring delivery to target and expectations.

• 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.

• Strong interpersonal skills-ability to quickly build relationships.

Languages :

•  Fluent English (oral and written)