Associate Director, Data Scientist Bioinformatics

hace 3 días


Barcelona, España AstraZeneca A tiempo completo

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.

**Accountabilities**:

- 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
- 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. Skill-sets in additional computational biology domains are a plus.
- 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.



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