Senior Scientist Bioinformatics

Job Description

The Senior Scientist will apply scientific domain-specific knowledge (in bioinformatics) and/or clinical disease area expertise , specialized data processing techniques, analytical and machine learning capabilities to extract scientific insight and hypotheses from data. The role will work in partnership with scientists and clinicians to support the generation of innovative solutions, within defined project scope and aligned to established frameworks, which support decision-making in pre-clinical, development and post-market activities. Introduction to role: Join AstraZeneca, a pioneering bio-pharmaceutical company thats not afraid to do things differently. Were seeking a highly skilled Bioinformatics researcher with a strong desire to enable multi-omics biology in drug discovery and development. Youll 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: As a Senior Scientist Bioinformatics, you will build predictiveAI capabilities that make use of multi-omics technologies that measure transcript s or genome variants to discover novel mechanisms of action for our compounds and/or therapies . You will drive hypothesis generation by applying computational biology approaches, data integration, and combining biological knowledge. You will also implement new predictive capabilities using computational biology to translate omics data into biological insights. Collaboration with academic research groups and contribution to publications in peer-reviewed journals will be part of your role. You will also help educate and train AstraZeneca colleagues in omics data interpretation and related areas, and co-ordinate and liaise with external suppliers of bioinformatics capabilities to deliver on urgent projects and developing capabilities. Essential Skills / Experience : PhD in computational ( bio ) sciences (e.g., computational biology, bioinformatics, genomics , transcriptomics 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 ML or DL algorithms and predictive modeling applied to biological or biomedical problems . Demonstrated experience in genomics or transcriptomics data analysis. Skill-sets in additional computational biology domains are a plus. Good applied knowledge of statistics (e.g., parametric and non-parametric tests, p-values, correlation metrics, PCA) and good experimental design practices (e.g., batch effects, confounding factors) Demonstrated expertise in R and Python . Team player mindset and ability to explain complex topics to scientists from other disciplines Ability to communicate effectively (written and spoken) in English 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