ASSOCIATE DIRECTOR - DATA ENGINEER/SCIENTIST

About our team.
A place to do important work.
We connect across R&D to power each function to better influence patient outcomes and improve their lives.
Impactful and valuable, this is where you come to raise your profile and do good for others.
Play an increasingly crucial role in driving positive disruptive transformation on our journey to becoming a digital and data-led enterprise.
Unleash the power of our latest innovations in data, machine learning and technology to turn complex information into life-changing and practical insights.
Work in synergy with leading experts in our specialist communities.
Here we bring the brightest minds to bear, with access to cutting-edge techniques and the opportunity to be part of novel solutions.
It’s up to us to drive the outcomes forward, inventing and building, expanding our knowledge to identify the next opportunity.
An inclusive team, we bring together diverse areas – different functions as well as external partners.
Pooling from an unrivalled source of knowledge, we share, learn and challenge.
It powers us to decode business needs and apply our technical know-how to add greater value.
Rise to the challenge of shaping the future of an evolving business in the technology space.
Introduction to role.
Are you ready to do important work that impacts patient outcomes and improves lives? At AstraZeneca, we are on a journey to becoming a digital and data-led enterprise.
We are looking for an Associate Director Data Engineer/Scientist to join our Predictive AI & Data team.
This role is crucial in driving positive disruptive transformation, turning complex information into life-changing insights.
Here, you will have the opportunity to work with leading experts and be part of novel solutions.
If you are ready to rise to the challenge of shaping the future of an evolving business in the technology space, this is the role for you!       Accountabilities.
In this role, you will be responsible for delivering fit-for-purpose solutions to our CPSS (Clinical Pharmacology & Safety Science) colleagues, using enterprise infrastructure and technology, where possible, aligned with AZ’s “Bold Ambition” initiative for .
Your tasks will include receiving requirements from stakeholders, prototyping solutions which meet those requirements, leading the delivery (including test and release) of those solutions and collaborating closely with our colleagues in R&D IT as well as the AI and Bioinformatics groups.
You will collaborate with colleagues across the globe, predominantly with our colleagues in Sweden, United Kingdom and United States of America.
Essential Skills/Experience.
Relevant graduate degree.
Bioinformatics, Computer Science, or Engineering    Experience delivering solutions across key elements of the data and analytics domain   Great interpersonal skills and a collaborative approach to delivery   Ability to communicate effectively with different audiences (written and spoken) in English   Ability to understand business needs and translate them into a solution   Excellent problem-solving, analytical, and critical thinking skills, with a keen attention to detail   Strong data analysis, data visualization and data engineering skills   Experience in developing data pipelines (Nextflow, SnakeMake, Airflow, etc.)   Strong programming skills in Python or similar programming languages   Experience in Unix, SQL databases, cloud computing (AWS), and HPC (High Performance Computing)   Experience in machine learning, AI and statistical data analysis   Familiarity with professional software engineering practices and tools (version control, CI/CD, tests)     Desirable Skills/Experience.
Familiarity with data visualisation tools such as PowerBI, Spotfire, Rshiny, Python Dash or Flask, Streamlit   Experience architecting data platforms and data driven solutions   Familiarity with agile methodologies, particularly SCRUM and SAFe as well as Kanban   Experience in data processing, analysis and visualization of data related to the drug development process, particularly pre-clinical   Experience in data processing and analysis of omics data and bioinformatics in general   Experience in developing methods and algorithms in the data and analytics domain     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 AstraZeneca, we follow the science to explore and innovate.
We are committed to making a difference, fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.
We are always listening and learning from people who live with the diseases our medicines treat.
It enables us to better understand their needs and, ultimately, diagnose and design the right treatments to impact patients' lives.
We are harnessing digital, data science & AI to help us achieve the next wave of breakthroughs.
If your passion is science and you want to be part of a team that makes a bigger impact on patients' lives, then there's no better place to be.
Ready to make an impact? Apply now and join us in our mission to improve patient outcomes and lives!   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.