AstraZeneca

Senior Data Scientist - Oncology

Job description

Senior Data Scientist - Oncology

Locations: Cambridge (UK) Gaithersburg or Waltham (US)

Competitive salary and benefits package on offer

Do you have expertise in, and passion for, Data Science? Then AstraZeneca might be the one for you!

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies.

Join the team dedicated to Oncology, with an ambition to eliminate cancer as a cause of death. It’s our big vision that unites and inspires us. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward. Fusing cutting-edge science with the latest technology to achieve breakthroughs. Backed by investment, we are aiming to deliver 6 new molecular entities by 2025.

As a science-led and research-driven pharmaceutical company, AstraZeneca is embracing all of its data – whether clinical, operational, or scientific – to drive the decisions we make in delivering new medicines that transform the lives of patients worldwide. The Machine Learning and AI team in Oncology Data Science & Analytics delivers advanced quantitative modelling across the whole of AstraZeneca’s oncology franchise, which is currently transforming the lives of patients worldwide, and ultimately aims to eliminate cancer as a cause of death.

Main duties and responsibilities

The Machine Learning and AI team in AstraZeneca’s Oncology Data Science & Analytics group is where we develop and apply sophisticated algorithms and techniques to solve the hardest problems in oncology drug discovery and development. The team uses their scientific, quantitative, and problem-solving skills to work on a broad range of challenges across the whole oncology portfolio, working collaboratively with other scientists across a range of disciplines to scope, define, and deliver projects that both advance the state of the art in data science and accelerate the delivery of innovative medicines to patients.

As a Senior Data Scientist you will play a key role on the front line in this rapidly growing team working to extract insight from complex biomedical data. You will develop your leadership skills and apply and develop your expertise in rigorous quantitative data science to provide solutions to a variety of data science problems, researching, recommending and delivering novel methodologies to solve the problems that matter to the oncology pipeline.

Examples of projects the team works on include developing machine learning models for digital biomarkers, patient risk stratification for clinical trials, new algorithms for survival analysis, approaches to quantitatively analyse wearable data, linking of medical imaging data with ‘omics and longitudinal outcomes to identify and/or validate new drug targets, natural language processing to extract information from clinical text, and much more!

The level of the position will be determined by the candidate’s experience, skills and education.

Typical Accountabilities

For our Sr. Data Scientist you will typically be accountable for:

  • Providing advanced data science and machine learning expertise to AstraZeneca projects, researching and recommending data science solutions, and appropriately communicating with non-technical stakeholders.
  • Collaborating in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.
  • Publishing your work to ensure that AstraZeneca drives the data science agenda in the pharmaceutical industry.

Education, Qualifications, Skills and Experience

Essential for our Sr. Data Scientist

  • MSc degree in rigorous quantitative science (such as mathematics, computer science, engineering)
  • Practical software development skills in standard data science tools (such as R or python)
  • Knowledge of range of mathematical and statistical modelling techniques, and drive to continue to learn and develop these skills.

Why AstraZeneca?


It’s a place to think differently – to find new ways of handling and treating diseases. We are trusted and empowered to explore. Ultimately, it’s more than a job. We know that our work impacts people with serious conditions, many of whom have no other alternatives. That’s what drives us – the potential to impact over one billion patients worldwide.

So, what’s next! If this sounds like your next challenge - apply today! We look forward to get to know you better. Welcome to send us your application through our website at your earliest convenience.


Where can I find out more?


Follow AstraZeneca on Instagram: https://www.instagram.com/astrazeneca_careers/?hl=en

Read more about Oncology R&D: https://www.astrazeneca.com/r-d.html

#DataAI

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