Senior Real World Evidence Scientist - Barcelona, España - AstraZeneca

AstraZeneca

Empresa verificada

Barcelona, España

hace 5 días

Publicado por:

Isabel García

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Descripción

Senior Real World Evidence Scientist
Barcelona, Spain

About Astrazeneca

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases.

But we're more than one of the world's leading pharmaceutical companies.

Business area
Oncology is driven by speed. Here you will be backed by leadership and empowered at every level to prioritise and make ambitious moves. Be a daring decision-maker. Speak up and constructively challenge. Powered to take sensible risks based on scientific evidence. Here it's our scale, agility and passion that makes sure we deliver fast, every time.

The Oncology Real World Evidence R&D team is a new group being growing within AstraZeneca.

AstraZeneca has a pedigree of experience in Real World Evidence, having developed a coherent strategy to develop and internalize rich data assets the group is now amplifying those investments through a Real World Evidence Data Science capability.

What you will Do
We are looking for MSc/PhD level epidemiologists, bio-statisticians, biomedical data scientists, clinicians/pharmacologists or related fields with a strong desire to learn and expand their abilities into the analysis of Real World Evidence (RWE)

This role provides coaching, task management and support to Programmers/Statistics/Information Scientists, promoting standard methodology across multiple domains, and/or partner groups.

The AstraZeneca Oncology R&D RWE group provides expert analysis and interpretation of the sophisticated biomedical data captured in electronic health records, claims data, registries, wearables and epidemiological observations.

This important work, which provides a rich window on the complicated realities of patients and diseases, is used to support the drug development process in a variety of ways, including:

Analysing longitudinal health data to characterise patient journeys and outcomes across multiple modalities (genomics, clinical, imaging, etc)
Sifting claims and prescription data for use patterns and to support label expansion
Building predictive models of patient outcomes
Identifying patient subtypes (e.g. via biomarkers) for possible therapy development
Building synthetic and external control arms to support the interpretation of clinical studies
Development of algorithms for better diagnosis and identification of patients
Searching for evidence of adverse effects in medical histories
Using federated networks of electronic health records for patient identification and recruitment
Using real world evidence to support pragmatic and hybrid trial designs
Partnering with external organisations to generate custom realworld datasets

Requirements:

Masters Degree in relevant field (Ph.

D. would be preferred)

Relevant experience
Use of statistical and scripting languages such as R, Python and SQL
Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with data science
Demonstrated ability to build longterm relationships with partners 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 multidisciplinary epidemiological projects
Strong background of delivering large, cross functional projects
Experience working in a global organisation and delivering global solutions

Desirable Skills