Biopharmaceuticals - Associate Director, Real World

hace 1 semana

Barcelona, España AstraZeneca A tiempo completo

**Location: Barcelona (on-site)**

BioPharmaceuticals Medical (BPM) ensures the best patient outcomes by providing healthcare decision-makers around the world with the evidence and confidence they need on AstraZeneca therapies and support our internal stakeholders with medical insight and expertise. BPM provides medical leadership with market participation and connectivity while also impacting the life cycle planning and execution of all our products. BPM aims to lead AstraZeneca in achieving scientific leadership, being a great place to work, and keeping patients at the core of everything we do.

BioPharmaceuticals Medical Evidence is accountable for the delivery of Global strategic studies required to generate the evidence to build the confidence on AstraZeneca therapies and additional observational research and externally-sponsored research required by Global Product Teams.

The Associate Director, Real World Data Science role reports directly to the Senior Director, RWD Science and will have a proven track record of delivering value through the leverage of routinely collected data from healthcare settings or observational studies to provide health analytics and insights in a range of contexts including public health, pharmaceutical research and development and commercial/ payer.

The Associate Director, Real World Data Science will collaborate with colleagues in epidemiology, statistics and health economics to shape the RWD science delivery of medical and payer evidence studies. They may support pharmacovigilance through contextualization with RWD. They will provide methods expertise and deliver a range of analyses of RWD to support the business and give expert scientific and technical guidance on study design, data selection and best practice in RWD utilization.

**Typical Accountabilities**
- Deliver/Implement advanced secondary analyses of data from EMR, claims and primary observational data required across Therapeutic Area (TA) RWE strategies.
- Provide expert technical input, options and directions to strategic decisions made by AZ observational study teams on study design, data partner selection and best practices in RWD utilization.
- Mentor/coach and support the education and technical training of other data scientists.
- Provide support for strategic decisions on AZ Medical Evidence and Observational Research external collaborations in the US and other markets.
- Collaborate with internal teams to evaluate and assess strengths and weaknesses of external RWD 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.
- Promote best practice in RWD Science across multiple domains, and/or stakeholder groups.

**Education, Qualifications and Experience***

**Essential**
- PhD or MS in statistics, mathematics, data science or other advanced degree in life sciences + relevant industry experience.
- Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling.
- Hands-on experience with EMR/Health IT, disease registries, and/or insurance claims databases.
- Experience within clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/SNOMED).
- Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with statistics/machine learning/data science.
- Ability to lead & manage multi-disciplinary data science projects.
- Familiarity in Statistical Analysis Plan (SAP). generation and execution for observational studies.
- Proficient in SQL.
- Proficient in R/Python.

**Desirable**
- Demonstrated ability to build long-term relationships with stakeholders, understand relevant scientific/business challenges at a deep level and translate into a programme of data science activities to deliver value to the business.
- Experience in advanced visualisation and visual analytics of routinely collected healthcare data.
- Experience working in a global organization and delivering global solutions.

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