Associate Director, Data Scientist Bioinformatics Py-950

Join AstraZeneca, a pioneering bio-pharmaceutical company that's not afraid to do things differently. We're seeking a highly skilled Bioinformatics engineer 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. The candidate will partner with CPSS scientists and interact across the R&D therapeutic area units spanning multiple strategic global locations to enable safe and efficacious therapeutic drug candidates. The candidate will use computational approaches to generate biological insights, enable new computational capabilities, and will drive many computational efforts focused on advancing understanding of drug safety and efficacy, thus accelerating the development of novel therapeutic drugs for patients in need. The position is a rare opportunity to gain experience in a variety of computational approaches relating to and work with industry leaders, while publishing and contributing directly to the development of future drugs across many diseases. Accountabilities: Responsible for strategic implementation and the development of advanced predictive modelling of liver, cardiac and other target organ toxicities. Build in silico capabilities to advance multi-omics technologies that measure transcripts, proteins, and metabolites 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, for predictive safety. Collaborate with academic research groups, leverage external grants and contribute to publications in peer-reviewed journals. Help educate and train AstraZeneca colleagues in omics data interpretation and related areas. Support junior members of staff and postdocs. Essential Skills/Experience: PhD in computational biosciences (e.G., 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. Extensive experience in multiple large-scale omics data types, including transcriptomics, proteomics, metabolomics, epigenetics, genomics or CRISPR gene editing data analysis. Experience developing predictive safety models such as for liver, heart, kidney or lung. Expertise in data science techniques, such as machine learning and statistical analysis for biological problems. Strong programming skills in R or Python, together with data visualization frameworks. Team player mindset and ability to explain complex topics to scientists from other disciplines. Demonstrated evidence of leading highly collaborative cross-functional teams. Prior experience in the biopharmaceutical industry and general understanding of drug development and pharmacology. Ability to communicate effectively (written and spoken) in English. Desirable Skills/Experience: Experience in independent scientific research. Background in computational toxicology and predictive safety, with knowledge of molecular mechanisms of disease or human biomedicine, particularly in a drug safety context. Knowledge of drug discovery or pharmaceutical development, including new modalities Car-T, ADC, cell and gene therapies, oligonucleotide-based therapeutics. Excellent ability to work on multiple projects at the same time. 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. Why AstraZeneca? At AstraZeneca we follow the science to explore and innovate. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. We have the potential to grow our pipeline and positively impact the lives of billions of patients around the world. We are committed to making a difference and have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs. Join us if you're passionate about science and want to be part of a team that makes a bigger impact on patients' lives. Here we truly understand science and apply it every day to strengthen and grow our pipeline. We are using our unique scientific capabilities to deliver what we believe to be one of the most productive pipelines in the industry. There's great potential too with lots of different indications. Ready to make a meaningful impact on patients' lives? Apply now! *Please apply with an English Resume Date Posted: 12-ago-2024 Closing Date: 01-sept-2024 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. #J-18808-Ljbffr