Position
Clinical Information Science Associate Director
Location
Cambridge, UK
Competitive Salary & Excellent Company Benefits
At AstraZeneca, with our portfolio, our pipeline and our people, we aim to revolutionise cancer care. Our broad pipeline of next-generation medicines is focused principally on lung, breast, gastrointestinal, GU and haematological cancers.
Overview
If you are passionate about science and data-driven decision making, you could join us as a Clinical Information Science Associate Director (CISAD) to shape our oncology portfolio trials through optimal use of clinical information.
What You’ll Do
As an information expert you will be responsible for the delivery of information needed to make drug development decisions, acting as an authority on innovative use of information and data to help shape our trials and portfolio. You will use a variety of information sources such as scientific literature, competitive intelligence, internal and external clinical trial databases, and techniques such as specialist information search, AI capabilities and analysis, data visualisation and benchmarking to extract and present key relevant information for decision making. You will be partly or fully accountable for the Information Practice delivery scope in one or more drug projects in the Oncology portfolio, either by your own contribution or by leadership of other Information Practice staff.
Your Accountabilities Will Include
* Support decision-making in clinical design, submission and interpretation by identifying, benchmarking, extracting and presenting meaningful facts and data via internal and external competitor intelligence information sources.
* Apply or understand techniques such as text mining, AI/NLP and data visualisation for extracting and summarising key relevant information enabling timely and objective clinical study decision.
* Build and maintain scalable data and analysis pipelines that deliver reusable clinical and scientific insight.
* Lead or contribute to translating unstructured business challenges and data into model-driven or analysis-ready data.
* Lead or contribute to cross-functional, multidisciplinary projects working with data scientists, clinicians and statisticians.
* Mentor colleagues, develop and promote best practice in AI, NLP, and information science for literature searches and providing clinical insight.
* Plan and work independently and take responsibility for specific deliveries within a drug project, ensuring high quality is built into deliverables.
Essential For The Role
To succeed in this opportunity you will have a real passion for oncology, clinical data and information – in particular knowing what information you require, how to seek it out, and how to share it with the teams in an insightful way. You will be an excellent communicator, with a strong team focus that enjoys collaborating to achieve the best results.
In Addition, You Will Also Have
* Advanced degree in Life Science (PhD, PharmD, MD) or in Computer Science, Information Science, Mathematics. PhD/MD with 3 years of relevant experience or Masters' degree with 5 years of relevant experience.
* Deep understanding of the pharmaceutical clinical drug development process (setting could include, but are not limited to: Clinical Operations, Regulatory, Early development, medical affairs, Competitive/Regulatory Intelligence, CRO).
* Experience in defining and executing literature and database search strategies.
* Demonstrated leadership capability.
* Significant experience / proven track record in the application of information and knowledge management in a clinical or scientific setting.
* Good written and verbal communication skills including presentation skills and proficiency in communicating complex information to a diverse audience.
* Strong organisational skills with the ability to multitask, set priorities and follow a timeline.
* Great attention to detail.
Desirable for the role
* Experience in Oncology/Immuno-Oncology biology, or immunology or oncology related disciplines.
* Experience or understanding of NLP software and AI tools for literature searches.
* Experience or understanding in Machine Learning.
* An interest in coaching and developing junior team members.
We are committed to building an inclusive and equitable environment. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments and accommodations to help all candidates perform at their best. If you have a need for any adjustments or accommodations, please complete the section in the application form.
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