Data Scientist

Data Scientist

Remote

£600-£650/day

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 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 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 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.

Education, Qualifications, Skills and Experience

Essential

• 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

Desirable

• Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data
• A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies
• Demonstrated ability to build long-term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value
• Ability to lead & manage multi-disciplinary data science projects

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