Senior Scientist, Healthcare Analytics
Canada - Mississauga
AstraZeneca
Job title: Senior Scientist, Healthcare Analytics
Location: Mississauga (Canada)
At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.
We are looking for an Senior Data Scientist to join our Healthcare Analytics team within Biopharmaceuticals R&D Data Science & Advanced Analytics group. We focus on developing and applying innovative, data driven solution, to some of the hardest problems in R&D. Our team of data scientists, Real World Evidence experts, and bioinformaticians work right next to leading clinicians and scientists, allowing us to be close to the questions that matter . Our work informs critical decisions in R&D and we have direct impact in transforming patients' lives by accelerating access to new medicines to those most in need.
What you’ll do
In this role, you will apply your expertise in analytical methods that support disease understanding, assess treatment pathways and unmet need, and optimize drug development programs using Real World Data. You will work closely with drug project teams to inform critical business decisions and identify opportunities where Real World Data can have a significant impact in accelerating drug development. You will be a subject matter expert in cross functional projects and mentor junior team members.
Examples of projects that team works on are:
- Use Real World data to optimise clinical development programs
- 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 patient population
- Research and develop machine learning models on Real World Data to identify biomarkers and further our understanding of disease
Essential for the role
- BSc or MSc in a Life Science, Computer Science or equivalent experience
- Experience in designing and conducting observational studies using epidemiological methods with demonstrated impact on decision making
- Experience with Real World Data assets, such as claims, EHRs, registries
- Disease/therapy area and/or biological sciences domain knowledge
- Demonstrated experience in method development and application using Python, R and database languages (e.g. SQL)
- Excellent communication skills with the ability to work with others to achieve objectives
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
- Use of Machine Learning and Artificial Intelligence in the generation of hypotheses from patient level Real World Data
- Experience of working in a global organization with complex/geographical context
- Strong track record of delivering multi-disciplinary analytics projects
- Multiple published papers and/or patents, contribution to external open source projects
Great People want to Work with us! Find out why:
Are you interested in working at AZ, apply today!
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
#LI-Hybrid
Date Posted
02-Jul-2024Closing Date
18-Jul-2024AstraZeneca 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Machine Learning ML models Open Source PhD Python R R&D Research SQL
Perks/benefits: Career development
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