Clinical Information Science Associate Director - Early Oncology

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Clinical Information Science Associate Director (CISAD) – Early Oncology

Location: Gaithersburg (US), Wilmington(US), Macclesfield(UK) or Cambridge (UK).

Competitive salary and benefits on offer

At AstraZeneca, with our portfolio, our pipeline and our people, we aim to revolutionize cancer care with our bold ambition to provide cures for cancer in every form. Our broad pipeline of next-generation medicines is focused principally in lung, breast, gastrointestinal, GU and hematological cancers. We follow the science to deliver life-changing treatments and increase the potential to save the lives of people around the world.

If you are passionate about science and data-driven decision making, explore the possibility of joining us as a Clinical Information Science Associate Director (CISAD) to shape our oncology portfolio trials via optimal use of clinical information.

The position sits within Oncology Information Practice department a part of the Oncology Biometrics organisation. As part of a diverse global team, you will support the drug development process by providing scientific information (literature, data analytics, digital visualizations) for early-stage drug development. The Oncology Information Practice department also delivers information and data supporting the Oncology drug projects portfolio decisions via strategic information initiatives, applying knowledge of external environment and trends for internal information needs.

What you’ll do

As an information expert you will be responsible for delivery of information needed to make drug development decisions, making you 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 and analysis, data visualization and benchmarking to extract and present key relevant information for decision making. You will be partly or fully accountable for Information Practice delivery scope in one or more drug projects in Early-stage Oncology by own contribution or 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 back meaningful facts and data via internal and external competitor intelligence information sources
• Use techniques such as: text mining and data visualization extracting key relevant information enabling timely and objective clinical study design decision
• Build/maintain a repository of key data, bringing together key historical decisions for wide team to use and refer to
• Plan and work independently and take responsibility for specific deliveries within a drug project, and ensure 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 who enjoys collaborating to achieve the best results.

In addition, you will also have:

• Advanced degree in Life Science (PhD, PharmD, MD, but Masters’ degrees will also be considered)
• Experience in Machine Learning and data science
• Deep understanding of the pharmaceutical clinical drug development process (setting could include, but are not limited to: Clin Ops, Regulatory, Early development, Discovery, 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 organizational 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 for literature searches
• An interest in coaching and developing more junior team members