The Opportunity

You will be part of a team that is passionate about developing novel diagnostic tests for the early detection of cancers. As part of the team, you will be in a Company that aims more than to become one of the leaders in the industry. We want to have a huge positive impact on society by achieving the ambitious purpose of "making cancer a curable disease by detecting it earlier".

Why Now?

This is an exciting time to be at Universal DX. We are growing rapidly by building up our team in the EU and the USA. We are looking for passionate changemakers to be a part of our journey in this expansive time for us.

How you'll contribute

• Think about and conceptualize computational, signal processing, mathematics and statistics-related problems and challenges in early cancer detection field.
• Contribute into model, code and software improvement, and subsequently plan, scope, and execute associated research with a team of bioinformaticians, data scientists and software engineers.
• Study, experiment and investigate technological fields such as artificial intelligence and genomics.
• Analyze and interpret molecular, analytical and clinical data in the context of early cancer detection and
identification of molecular signatures across various types and stages of cancer.

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What you'll bring

• Master's degree or equivalent experience in a relevant field such as Bioinformatics, Biotechnology, Biology, Computer Science, Statistics, Applied Mathematics, Physics or Engineering.
• Proficiency in Linux environment and bash.
• Experience in the analysis of high-throughput, quantitative technologies in genomics, epigenomics,
proteomics, or transcriptomics (e.g., Hi-C, ATAC-seq, RNA-seq, MS).
• Ability to generate tested production-ready code, version-controlled with Git.
• Excellence with computational and statistical programming, including parallelization and code optimization
with Python and R.
• Ability to work with Big Data.
• Post-study experience applying machine learning algorithms and/or statistical descriptives for research

and/or product development, ideally in industry is a plus.
• Attention to detail.
• Knowledge and experience with time management and timeline development.
• Flexibility.
• Strong oral and written communication skills in English.