Senior Scientist Bioinformatics

Introduction to role:

The Senior Scientist will apply scientific domain-specific knowledge (inbioinformatics) 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.

Accountabilities:

As a Senior Scientist Bioinformatics, you will build predictiveAIcapabilities that make use of multi-omics technologies that measure transcripts 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.

EssentialSkills/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 MLor DL algorithms and predictive modeling applied to biological or biomedical problems.

  • Demonstrated experience in genomicsor 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 independentscientificresearch

• 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 are driven by results and use our unique blend of science and commercial knowledge to spot opportunities and drive outcomes. We are part of an expansive healthcare ecosystem, connecting key players across the entire patient journey. Our diversity is our strength, reflecting the variety of patients we serve. We strive to create a place where everyone is empowered to speak up and share ideas. We are committed to your development and offer borderless opportunities for a global exchange of talent across different functions. Join us as we redefine the future, working towards our vision to be the leader in Cardiovascular, Renal, Metabolism, Respiratory and Immunology by 2025.

Ready to make your mark? Apply now and be a part of our journey to redefine the future of bioinformatics!