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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. Our newly restructured Data Science Solutions team is key to unlocking the value in this data.
You will be innovative, creative, and entrepreneurial, and you will share our passion for science and have the drive and determination to meet the unmet needs of patients around the world. Our key mission is to get the right medicines to the right patients, faster. You will work in a team - part of our Advanced Analytics Centre - that has already demonstrated significant impact on AstraZeneca's key business and is now expanding to take on new challenges.
As a Data Scientist at AstraZeneca, you will collaborate across the whole medicines development business with clinicians, operations experts,
* Working with drug project teams to find the right sites in which to run a clinical trial,
* Developing and applying sophisticated machine learning methods to understand data from wearable devices,
* Researching and developing forecasting and optimization methods to guide decision-making about and resourcing of our drug projects,
* Understanding the patient journey in real world data to optimize patient treatment pathways.
* Working with architects and engineers to influence the design our data science infrastructure.
Minimum qualifications
* MS degree in a rigorous quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
* 2 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician).
* Experience with statistical software (e.g., R, Julia, MATLAB, pandas) and database languages (e.g., SQL).
* Demonstrated ability and enthusiasm to learn and apply new techniques
* Demonstrated experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
Preferred qualifications
* PhD degree in a rigorous quantitative discipline (as above)
* Applied experience using advanced machine learning techniques such as CNN, Gaussian processes, or gradient boosting in practical problems
* Demonstrated experience working with business customers to help formulate business problems as a rigorous quantitative question, and translating analysis results to business recommendations.
Next Steps -- Apply today!
To be considered for this exciting 12 months fixed term contract opportunity, please complete the full application on our website at your earliest convenience -- it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.