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RWE Scientist

Location: Cambridge

Salary/Rate: Daily Rate

Type: Temporary

Closing Date:

Job Reference: 4100618

AZ require an RWE scientist for a 12 month interim project.

Your new company
This global, science-led bio pharmaceutical company focuses on the discovery, development and commercialisation of prescription medicines. Operating in over 100 countries the mission is to make a meaningful difference to patient health through great medicines that bring benefit for patients and add value for our stakeholders and society. We discover, develop, manufacture and market prescription medicines

Your new role
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 a range of contexts including Public Health, Pharmaceutical Research and Development and Commercial/ Payer.
They will collaborate with colleagues in Epidemiology, Statistics and Payer, giving scientific and technical guidance on study design, RW data selection and best practice in RW data utilization.
In addition, they will assist in advancing and shaping AZ’s Real World Science data strategy through the due diligence on new data providers/vendors, informatics support for data acquisitions in a range of Therapeutic Areas.
The role will promote best practice in Real World Data Science across multiple domains, and/or stakeholder groups.
Typical Accountabilities
• Collaborate with Payer and Epidemiology teams to maximise the value derived from large observational research data
• Deliver analyses of data from EMR, claims and primary observational data required by TA RWE strategies
• Support the development of IVS strategies and selection of optimised contact models for prioritised markets through analysis of RWD
• Provide scientific guidance on the application of Real World Evidence and observational research data to address issues across the Oncology and Biopharmaceuticals business units
• Provide technical input, options and directions to strategic decisions made by AZ observational study teams on study design, data partner selection and best practices in RWE data utilization
• Support technical teams to provide access to analytical tools and develop visual analytics to enable self-serving applications for end customers
• Provide clear technical input, options, and direction to strategic decisions on RWE platform and capability build
• Provide support for strategic decisions on AZ Medical Evidence and Observational Research external collaborations in the US and other markets
• Assist in building a capability that becomes a source of sustained competitive advantage for AZ in identifying, acquiring, integrating and mining diverse RW data from multiple geographic and healthcare system sources to support evidence generation and real-world studies
• Evaluate and assess strengths and weaknesses of external RW data sources, and potential partners for advancing the data strategy for specific therapeutic areas
• Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets.

What you'll need to succeed
PhD or MS in data science or other advanced degree in life sciences with post doctoral or other training/work in
Medical/Health Informatics or related field
• Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling
• Expertise in EMR/Health IT, disease registries, and insurance claims databases
• Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with data science
• Experience in Statistical Analysis Plan (SAP) generation and execution for observational studies
• Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python
• Experience in advanced visualisation and visual analytics of routinely collected healthcare data

What you'll get in return
Collaborative environment
Competitive Daily Rate
Pioneering studies

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

Contact: Owen Lavers

Office: 1st & 2nd Floor, 2 Colton Square

Phone: 0116 261 5048

Email: owen.lavers@hays.com

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