Senior Bioinformatics Software Engineer, Oncology Data Science Platforms

at  AstraZeneca

WHY JOIN US?

At AstraZeneca, we are dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. With an ambitious goal of delivering 20 new medicines by 2030, there is no better place to make a difference in medicine, for patients, and in society.
Join us on this exciting journey to pioneer the future of healthcare. Our inclusive culture champions diversity and collaboration, and we are always committed to lifelong learning, growth, and development. As part of our team, you’ll contribute to groundbreaking advancements that will shape a healthier future for people everywhere. Be a catalyst for change at AstraZeneca, where your work will have a real impact on improving people’s lives.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
In AstraZeneca Oncology, our goal is to be at the forefront of developing the next generation of cancer therapies.
There is an exciting opportunity for a talented and motivated bioinformatician to join the group as a Senior Bioinformatics Software Engineer.

What You’ll Do:

• Build scalable (Cloud & Hight 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 Requirements:

• 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 FOR THE ROLE:

• NGS analyses for Oncology (e.g. ctDNA).
• Experience in Spatial analyses.
• An understanding of the contribution of bioinformatics to drug discovery.

What You’ll Do:

• Build scalable (Cloud & Hight 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)