Senior Bioinformatician, Omics, Oncology Data

**About AstraZeneca**

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here

means being entrepreneurial, thinking big and working together to make the impossible a reality. If

you are swift to action, confident to lead, willing to collaborate, and curious about what science can

do, then you’re our kind of person.

**Oncology Data Science Platforms**

The Oncology Data Science - Data, Analytics, and AI Platforms (ODSP) team comprises multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our **data as a true business asset**, organizing our data so that it’s **accessible** and **easy to find, integrated, and re-usable** for Humans & AI, and building the best **computational tools** to **support scientific decision making**.

**What you’ll do**

**Major Duties and Responsibilities**
- Manage, analyse, and deliver high throughput Multi-omics (Genomics, Transcriptomics, Proteomics, Epigenomics etc) data
- Develop, test, and support data analysis tools and pipelines
- Build new data extraction, transformation and loading processes
- Ensure accurate automation of data analysis
- Build scalable (Cloud and HPC) solutions that work on tens of thousands of CPUs
- Validate the quality of the datasets using various tools to assess the correctness of the results
- Assist with developing requirements for internal software development
- Build and maintain high level of experience with team's software and IT technologies.
- Work collaboratively with scientists and outside collaborators to cultivate, process, and analyse genomic information
- Develop and maintain an in depth understanding of the scientific and technological domains supported by the team
- Build and steer further development of small prototype tools for bench scientists to access and visualize genomic data.
- Finally, you will collaborate with industry and academia, and exploit external resources, to find the most effective solutions to oncology data science problems

**Education, Qualifications, Skills, and Experience**

**Essential Requirements**:

- Relevant graduate degree:
Bioinformatics / Computational biology
Computer Science / Engineering
- Minimum of 2 years of applied experience in genomics/bioinformatics Sequencing data analysis
- Proven programming skills, Python or R preferred
- Experience in software development standard methodologies
- Experience in Unix, SQL databases, and REST APIs
- Cloud computing (preferably AWS), and High-Performance Computing (HPC)

**Desirable**:

- Strong communication skills on a technical and professional level as well as with service oriented
- Well networked within external bioinformatics and NGS communities.
- An understanding of the contribution of bioinformatics to drug discovery.
- Awareness of machine learning, graph modelling, Bayesian analytics or other non-traditional approaches to model biological data.

**Why AstraZeneca**

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth, and development. We’re on an exciting journey to pioneer the future of healthcare.

**So, what’s next?**

Are you already envisioning yourself joining our team? Good, because we can’t wait to hear from you

**Competitive salary and benefits package on offer