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Director, Healthcare Analytics

Location Barcelona, Catalonia, Spain Gaithersburg, Maryland, United States Cambridge, England, United Kingdom Gothenburg, Västra Götaland County, Sweden Job ID R-145209 Date posted 04/08/2022

Job title: Director / Associate Director Healthcare Analytics

Location: Barcelona (Spain), Gothenburg (Sweden), Cambridge (UK), Gaithersburg (USA), Toronto (Canada)

Make a more meaningful impact to patients’ lives around the globe.

Here you’ll have the opportunity to make a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem.

With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much, yet is still moving forward. There’s no better time to join our global, growing enterprise as we lead the way for healthcare and society.

The Centre For Artificial Intelligence (CAI) is a lab focused on applying machine learning research to the toughest challenges at AstraZeneca. We are a team of experts from different disciplines including Machine Intelligence, Data Science, Real World Evidence and Bioinformatics. We innovate together with our leading biologists, chemists, and clinicians to close the gap between today's challenges and the forefront of machine learning. If you want to have an impact on transforming patients' lives by accelerating new medicines to patients, this may be the position for you!

What you’ll do

In this role, you will lead the development of novel analytical methods that support disease understanding, assess treatment pathways and unmet need, and optimize drug development programs using Real World Data.  You will play a pivotal role in identifying and assessing opportunities where Real World Data can have a significant impact in accelerating drug development and drive engagement with Therapy Area colleagues.  You will mentor junior team members and initiate internal and external scientific collaborations.

Typical accountabilities for the role include:

  • Partner with multiple stakeholders across R&D to identify opportunities where RWE can inform critical business decisions and accelerate drug development
  • Lead development of novel analytics and Machine Learning solutions for RWE generation
  • Manage multiple projects across the portfolio and collaborate with Data Scientists, Machine Learning Researchers, Bioinformaticians etc. to find new solutions for drug development and discovery
  • Mentor and develop junior team members and act as an ambassador for RWE adoption across R&D
  • Provide direction to strategic decisions on RWE data strategy, platform and capability build to cross functional teams
  • Seek out external key opinion leaders and develop strong alliances to leverage and promote optimised utilisation of RWD
  • Remain at the cutting edge of RWE research and identify appropriate training opportunities for broader team
  • Review and develop working practices to ensure that work is delivered to robust quality standards
  • Ensure work is compliant within Clinical Development and CAI standards

Examples of projects that team works on are:

  • Use Real World data to optimise clinical development programs  
  • Research and develop machine learning models on multi-modal data to identify biomarkers and further our understanding of disease 
  • Evaluate unmet medical need in patient population and compare diagnostic and treatment pathways
  • Create novel methods to understand disease progression, risk factors, and predict outcomes of interest 
  • Assess generalizability of clinical trials and contextualise results in real world population  

Essential for the role

  • MSc in a Life Science, Computer Science or equivalent experience 
  • 7+ years’ experience in designing and conducting observational studies using epidemiological methods
  • In depth knowledge of Real World Data assets, such as claims, EHRs, registries
  • Disease/therapy area and/or biological sciences domain knowledge
  • Use of Machine Learning and Artificial Intelligence in the generation of hypotheses from patient-level Real World Data
  • Demonstrated experience in developing analytical methods and applications using Python and database languages (e.g. SQL)
  • Strong track record of delivering and managing multi-disciplinary projects
  • Excellent communication skills with the ability to influence without authority
  • Published papers in high impact journals and/or patents, contribution to external open-source projects

Desirable for the role

  • PhD in a Life Science or Computer Science preferred
  • Expertise with clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies
  • Experience of working in a global organization with complex/geographical context

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 ambitious 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? Are you ready to bring new insights and fresh thinking to the table? Good, because we can’t wait to hear from you.

Where can I find out more?

Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/

#DSAI

#DataAI

AstraZeneca 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.

10001254 F DAAS R&D BioPharmaceuticals

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Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.