RWE - Healthcare, Pharma Payer Business Analyst

Role in Brief :

- She/he will work closely with the Life Sciences Practice head driving and accelerating delivery of functional capabilities to supporting real world evidence projects with pharma. The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in both Public Health, Pharmaceutical Research and Development and Commercial context.

Responsibilities :

- Provide clear functional input, options, and direction to strategic decisions on RWE data strategy, platform and capability build

- Lead development of a capability that becomes a source of sustained competitive advantage for pharma clients in identifying, acquiring, integrating and mining diverse RWE data from multiple geographic and healthcare system sources to support evidence generation and real- world studies

- Assist in the delivery of analytics and the build of analytics pieces as part of an RWE strategy

- Leverage Payer & Real - world evidence data for clientrsquos therapeutic areas and build innovative RWE informatics capability to meet clientrsquos needs and/ or address their key challenges

- Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets.

Preferred Background :

- Ph. D. in medical informatics or other advanced degree in life sciences with post- doctoral or other training/ work in Medical Informatics or related field

- Expertise in developing business focused use cases for pharmaceutical organization using Real World Data

- Expertise in EMR/ Health IT, disease registries, and claims database

- Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies

- Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data

- Expertise in methods development and application using statistical languages such as R/ SAS/ SPSS / Matlab

- Experience in advanced visualization and visual analytics of routinely collected healthcare data

- Experience in real- world evidence and familiarity with health economics/ epidemiology, and quantitative science such as health outcome modelling

- Strong track record in delivering leading edge informatics solutions in pharmaceutical R&D and commercial environments

- Business Intelligence Software experience helpful (MicroStrategy, Cognos, Tableau, QlikView)

- Business English usage, spelling, grammar and punctuation.

Charanpreet

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