SENIOR DATA SCIENTIST BIOINFORMATICS

Join AstraZeneca, a pioneering bio-pharmaceutical company that's not afraid to do things differently.
We're seeking a highly skilled Bioinformatics researcher with a strong desire to enable multi-omics biology in drug discovery and development.
You'll be part of our Predictive AI & Data department within the Clinical Pharmacology and Safety Sciences (CPSS) function.
This is a unique opportunity to work with industry leaders, contribute to the development of future drugs across many diseases, and grow beyond what you thought possible.
Accountabilities.
Build in silico capabilities to advance multi-omics technologies that measure transcripts, proteins, and metaboloites at both the bulk and spatial levels to discover novel mechanisms of action for our compounds Drive hypothesis generation by applying computational biology approaches, data integration, and combining biological knowledge Implement new predictive capabilities using computational biology to translate omics data into biological insights Collaborate with academic research groups and contribute to publications in peer-reviewed journals Help educate and train AstraZeneca colleagues in omics data intepretation and related areas Co-ordinate and liaise with external suppliers of bioinformatics capabilities to deliver on urgent projects and developing capabilities Essential Skills/Experience.
PhD in computational biosciences (e.
., computational biology, bioinformatics, genomics or computer science) is preferred; or MSc (or equivalent) with experience in independent research in high-throughput omics data will also be considered Demonstrated experience in transcriptomics OR proteomics OR metabolomics data analysis.
Skill-sets in additional computational biology domains are a plus.
Demonstrated expertise in R or Python, together with data visualisation frameworks (e.
., ggplot2, matplotlib or others) Use of basic statistics (e.
., parametric and non-parametric tests, p-values, correlation metrics, PCA) and good experimental design practices (e.
., batch effects, confounding factors) Demonstrated experiences or a keen interest in learning data science techniques, such as machine learning, for biological problems Team player mindset and ability to explain complex topics to scientists from other disciplines Ability to communicate effectively (written and spoken) in English Desirable Skills/Experience.
Experience in independent scientific research Knowledge of molecular mechanisms of disease or human biomedicine, particularly in a drug safety context Excellent ability to work on multiple projects at the same time Knowledge of drug discovery or pharmaceutical development 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're committed to making a difference by fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.
We're driven by our shared belief in the potential of science to redefine what's possible.
We're investing to enhance our understanding of disease and pioneering new approaches to better predict clinical success.
Our inclusive environment encourages everyone to speak up and contribute.
We draw on our partnerships with academia, biotechs and the industry to pioneer new collaborative approaches.
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.
Are you ready to push the boundaries of science to deliver life-changing medicines? Apply now! * Please apply with an English Resume   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.