SENIOR DATA SCIENTIST

Join us as a Senior Data Scientist within our Transformation team at Alexion, AstraZeneca.
This role is pivotal in synthesizing and visualizing integrated data to inform strategic decisions and optimize trial outcomes.
With a deep understanding of both data science and clinical trial processes, you will develop innovative solutions to complex data challenges.
Your insights from disparate data and metadata sources will support improvement efforts and business intelligence.
Accountabilities.
As a Senior Data Scientist, you will design and execute sophisticated data analysis strategies to integrate complex data sources, utilizing advanced statistical and machine learning techniques.
You will create compelling data visualizations to effectively communicate complex findings to scientific and non-scientific audiences.
Working within data and systems governance frameworks, you will ensure the integrity and accessibility of data.
Partnering with key stakeholders, you will translate data insights into actionable recommendations.
You will also proactively identify and exploit opportunities to refine and advance our data methodology, contributing to problem-solving and the implementation of practical, innovative solutions.
Essential Skills/Experience.
- Bachelor’s or advanced degree in Computer Science, or related field, with at least 5 years of experience (or 2+ years of outstanding industry experience with the desired data science methodologies) - Demonstrated experience with a variety of statistical and machine learning methods - Practical software development skills in standard data science tools.
Python, R, Git, UNIX skills.
Familiarity working in cloud environment and high-performance computing clusters - Strong communication, business analysis, and consultancy skills; ability to present compelling cases to stakeholders and operate dynamically to identify solutions - Experience in data analysis profiling, investigating, interpreting, and detailing data requirements, e.
.
data modelling techniques and hands-on modelling experience - Willingness to work 3 days a week from the office and work flexible hours (as required) - Fluency in English and comfortable with working virtually in a global environment Desirable - Good understanding of project management techniques and methods - Experience of agile working practices - Experience working with various types of clinical data, including patient-level trial data, real-world evidence, and genomics - Experience building dashboards and reports, and creating deep-dive analysis to influence business decisions - Knowledge of mathematical and statistical modelling techniques - Experience of working globally When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.
In-person working gives us the platform we need to connect, work at pace and challenge perceptions.
That's why we work, on average, a minimum of three days per week from the office.
But that doesn't mean we're not flexible.
We balance the expectation of being in the office while respecting individual flexibility.
Join us in our unique and ambitious world.
At Alexion, AstraZeneca, we are more than just a beacon in the global Biopharmaceutical landscape.
We are a community that is led by the lived experiences of our patients.
Our closeness to patients brings us closer to our work and closer to each other.
We champion diversity and foster an energizing culture where people build connections to explore new ideas and learn.
Here, your career is not just a path, but a journey to making a difference where it truly counts.
Are you ready to join a team that values integrity, inclusiveness, and dedication? Are you ready to make an impact by driving change with integrity? If this sounds like a team that you want to be a part of...
then we’d love to talk.
Apply now! AstraZeneca embraces diversity and equality of opportunity.
We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.
We believe that the more inclusive we are, the better our work will be.
We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.
We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.