Senior Scientist, Data Scientist
hace 7 días
Senior Scientist, Data Scientist** to join our Data Science team.
What you'll
do
In this role, you will work directly with our stakeholders across BioPharma R&D (which includes respiratory, immunology, cardiovascular, renal, metabolic, neuroscience and vaccines) to deliver insights from clinical data, and work collaboratively with other teams within Data Science and Advanced Analytics to deliver innovative solutions to problems in pharma.
You will work on challenges such as:
supporting inclusion criteria through prognostic disease modelling, leveraging innovative methodologies for interpreting clinical trial data, identification of patient sub-groups, and supporting regulatory interactions.
Your work will support activities across early and late stages of clinical development.It is expected you will present your findings to clinical and senior stakeholders and publish your findings in scientific journals and conferences.
You will have the opportunity to collaborate extensively with other teams across the organization, with the goal of delivering products and novel insights to improve patient's lives.
Examples of projects this team works on include:
- Model and simulate treatment response in clinical trial data to rank covariates of clinical response
- Mining real world data to identify covariates of clinical risk
- Deploy novel data science methods for analyzing clinical trial data to support clinical development and regulatory submissions
- Patient risk models
- Counterfactual event models
- Biomarker driven efficacy models
Key responsibilities
- Exploratory Data Analysis of clinical data using data science, machine learning and visualisation to support design and interpretation of clinical trials
- Ensure projects make a tangible difference to business decisions to improve patients' lives
- Working to good software engineering practises, eg: GitHub, Jira, Docker, unit testing, DVC, etc.
- Communicate machine learning, statistical methods and insights to various domain experts, eg: clinical teams, data scientists, senior management, statisticians, external collaborators
- Contribute ideas and provide creative input within the data science community at AstraZeneca
- Work efficiently on small teams crossdisciplinary teams to optimally deliver projects across AZ business areas
- Continue to develop as a data scientist / machine learning expert through personal development
Essential for the role
- Ph.
- Knowledge and understanding of machine learning algorithms including pros and cons of different approaches
- Understanding of how to create robust and well tested models.
- Experienced in Python and familiar with modern software engineering practices and the use of modern collaborative tools (familiarity with some or all of the following:
- AWS or similar cloud technology, GitHub, Jira, Docker, unit testing, DVC etc.)
Desirable for the role
- Ph.
- Experience within the pharmaceutical industry and ability to demonstrate understanding of drug development and clinical trial process and data (all phases)
- Experienced with clinical data standards, GxP framework, medical terminologies and controlled vocabularies used in healthcare data and ontologies
- Use of Machine Learning to address medical or pharmaceutical problems with patient level data
- Track record of collaborating successfully on crossdisciplinary teams delivering impactful data science projects and analyses for stakeholders.
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.
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