Real World Evidence, Associate Director
Gaithersburg US / Boston US / Cambridge UK
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 quantitative epidemiologists, bioinformaticians, health informaticians, biomedical data scientists, clinicians/pharmacologists, bio-statisticians or related fields with a strong desire to learn and expand their abilities into the analysis of Real World Evidence (RWE).
The role holder will be a subject matter expert on the use of Real World Data and its capabilities in the use of RWD. The role holder will transform real-world clinical data into concrete insights for clinical development using statistical methods and innovative data visualizations to support decisions. The individual will also be responsible to the ideation of new methods and applications of RWE for new clinical development challenges and will be responsible for supporting new regulatory interactions using RWD.
The AstraZeneca Oncology R&D RWE group provide expert analysis and interpretation of the complex 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:
clinical project teams understand the benefits of RWD and support them in their clinical design
close connections with biometrics and clinical teams to develop a strategy for RWD use within a drug development program
with senior stakeholders to ensure the value of RWD is understood and supported within a Research and Development setting
longitudinal health data to characterise patient journeys and outcomes
claims and prescription data for use patterns and to support label expansion
predictive models of patient outcomes
patient subtypes (e.g. via biomarkers) for possible therapy development
synthetic control arms to support the interpretation of clinical studies
of algorithms for better diagnosis and identification of patients
for evidence of adverse effects in medical histories
the number of eligible patients for clinical trials from databases and literature
federated networks of electronic health records for patient identification and recruitment
real world evidence to support pragmatic and hybrid trial designs
with external organisations to generate custom real world datasets
Essential Requirements
in supporting a multidisciplinary team build a research objective that can be met with RWD
in the use and application of RWD to support clinical decision making
analytics and data mining of routinely collected healthcare data
of statistical and scripting languages such as R, Python and SQL
trials and recruitment, especially the application of synthetic control arms
application of genomics in clinical care or translational medicine
economics or epidemiology, and quantitative science such as health outcome modelling
Desirable Skills
science, machine learning and construction of predictive models
data standards, medical terminologies and healthcare ontologies
in a patient care or similar setting, that would allow the candidate to bring medical perspective into real-world evidence generation
design and implementing pragmatic clinical trials
Why AstraZeneca?
At AstraZeneca we’re dedicated to being an excellent Place to Work. Where you are empowered to push the boundaries of science and unleash your daring spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.
So, what’s next?
- Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.
- Are you ready to bring new insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it’s yours.
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Competitive Salary and Benefits
Date Posted
04-Oct-2022Closing Date
17-Oct-2022AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.