Senior Bioinformatics Software-Engineer, Oncology Data Science Platforms

Spain - Barcelona

AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.

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AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. In AstraZeneca Oncology, our goal is to be at the forefront of developing the next generation of cancer therapies.

Accountabilities

  • Build scalable (Cloud & High Performance Computing) solutions that scale to thousands of CPUs.

  • Develop, test, and support bioinformatics data analysis tools and pipelines for Sequencing data (NGS) at scale.

  • Automate complex data analysis processes.

  • Design and apply innovative computational, machine learning, AI, and statistical algorithms.

  • Validate the quality of the datasets using various tools to assess the correctness of the results.

  • Manage, analyze, and deliver sequencing data (NGS).

Essential Skills/Experience:

  • Relevant graduate degree: Bioinformatics, Computer Science, or Engineering.

  • Minimum of 5 years of applied experience in bioinformatics, specifically in sequencing data analysis: DNA-Seq, RNA-Seq, BS-Seq, Single-Cell, ATAC-Seq, etc.

  • Programming skills: Solid Python and NextFlow programming skills, as well as experience in at least one compiled programming language (e.g. any of C, Java, Go, Rust, etc.).

  • Experience in: Unix, SQL databases, REST APIs, Cloud computing (AWS), and HPC (High Performance Computing).

  • Experience in software development best practices.

Desirable Skills/Experience:

  • NGS analyses for Oncology (e.g. ctDNA).

  • Experience in Spatial analyses.

  • An understanding of the contribution of bioinformatics to drug discovery.

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 follow the science and pioneer new frontiers. Join our dedicated Oncology team with an ambition to eliminate cancer as a cause of death. Our pioneering approach identifies and treats patients earlier, focusing on early-stage cancer trials and evolving based on their needs. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward. Backed by investment, we aim to deliver six new molecular entities by 2025. Here, courage, curiosity, and collaboration drive us to make bold decisions for patient outcomes. Empowered to lead at every level, we take smart risks that write the next chapter for our pipeline and Oncology team.

Ready to make a big impact? Apply now and join us in transforming the lives of millions with cancer!

Date Posted

19-mar-2025

Closing Date

01-abr-2025

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs AWS Bioinformatics Computer Science Data analysis Drug discovery Engineering HPC Java Machine Learning Pipelines Python Rust SQL Statistics

Perks/benefits: Flex hours Startup environment

Region: Europe
Country: Spain

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