Job description
Senior Data Scientist
Cambridge UK, Gothenburg SWE, Gaithersburg US
Competitive Salary + Benefits
Make a more meaningful impact to patients’ lives around the globe
Here you’ll have the chance to create a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases.
Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem. With our ground-breaking pipeline, the outlook is forward-thinking.
Be proud to be part of a place that has achieved so much, yet is still moving forward. There’s no better time to join our global, growing enterprise as we own the way for healthcare and society.
A place that’s investing in the latest technology, data and innovative ways of working. Here you’ll be backed with everything you need to be at the forefront of digitising our organisation. Whether that’s working on the leading- edge, defining the future of Pharma or upskilling yourself in our Digital and Data Academy.
Responsibilities
We work on a flexible and multifaceted portfolio of challenges that include, but are not limited to:
Enabling Digital Health by developing an ecosystem of data science capabilities for improved clinical trial design, execution and monitoring that includes remote monitoring, telemedicine, medical and wearable devices to augment trials.
Researching and developing data science algorithms using high-frequency data generated from trials to achieve goals on patient centricity, sustainability and improved clinical trial design/execution
Developing and implementing end-to-end automation and integration of our algorithms in products using state-of-the-art serverless architectures in cloud platforms such as AWS.
Supporting individual therapeutic areas and study teams solve varied challenges using statistics, data sciences and machine learning.
These challenges will require you to:
Lead, advise on, investigate the feasibility of, and deliver data science solutions and ideas that drive value to AstraZeneca
Apply a range of data science methodologies, developing novel data science solutions where off- the-shelf methodologies do not fit.
Translate unstructured, sophisticated business problems into the appropriate data problem, model and analytical solutions
Develop, implement and maintain tools and algorithms in a manner which meets regulatory and evidential requirements.
Clearly and objectively communicate results, as well as their associated uncertainties and limitations Constructively collaborate with a diverse set of users (global functions and local marketing companies) and partners enabling effective consensus, conflict resolution and alignment to project goals.
Review and develop working practices to ensure that data science work is delivered to robust quality standards
Essential:
- PhD/MS in machine learning, computer science, statistics, physics, engineering or a related computational subject area. Applicants who have proven experience in data science and high proficiency in predictive modelling and machine learning are encouraged to apply
- A sound understanding of variety of statistical and machine learning methods and standard statistical/ML practices for development
- High proficiency and proven track record of researching, designing, coding and delivering high impact data-led insights through novel statistical and machine learning methods
- High proficiency in computer programming with Python or R programming languages
- High proficiency in exploratory data analysis, data profiling and drawing insights from large scale, structured and unstructured datasets.
- Experience with time series, hierarchical, real-world evidence data, and numerical optimization preferred
- Excellent written and verbal communication, business analysis, and consultancy skills
- Customer focus - dedicated to meeting the expectations and requirements of customers
- Integrity and trust - unwavering dedication to doing the right thing
- A passion to apply machine learning and other data science techniques to tackle difficult problems in drug development, clinical trial operations and related biomedical domains of value for AstraZeneca
Desirable:
- Experience in novel methods development and application
- Understanding of life sciences, with a preference for clinical drug development, operations and the pharmaceutical environment
- Experience with deploying statistical/ML models in production systems, and working closely with engineers for integration, management and maintenance of such systems
- Experience in data-led solution delivery and software lifecycle development practices including Agile/Scrum, Waterfall, DevOps and/or CI/CD.
- Experience in AWS and building serverless process, applications, API’s desired
- Strong publication record, patents, contribution to open source projects desired
So, what’s next?
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
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