Computational Biologist

Computational Biologist

Scion is seeking a computational biologist with deep technical fluency and scientific curiosity to join our interdisciplinary team. You'll work across projects that blend biology, data science, and systems design—helping turn raw data into real insight for clients solving complex scientific problems.

This role sits at the intersection of research and application. From early-stage biotech teams to large-scale institutional clients, you'll help build the infrastructure that transforms biological information into intelligent, scalable systems. You'll collaborate with consultants, designers, and engineers to shape how science gets built—and used.

What you'll be doing

As a computational biologist at Scion, you'll lead and support data-driven research projects that demand high analytical rigour and biological relevance. You might be modeling protein interactions, cleaning and interpreting genomic data, or helping a client design a scalable bioinformatics pipeline from scratch.

"We’re not just interpreting data. We’re helping teams build the systems that can act on it—intelligently, ethically, and at speed."

You'll also play a strategic role in shaping how clients approach infrastructure—advising on which tools, models, or workflows will actually help them move from analysis to action.

Who we're looking for

You're fluent in the language of data and science. You can work independently, communicate clearly across disciplines, and know when to explore and when to deliver. You bring technical expertise, but also the mindset to connect it to a bigger picture: scientific progress that actually works in the real world.

You've likely worked in research environments before—academic, startup, or industry—and know how to adapt when the pace, data types, or people change. At Scion, we value clarity, curiosity, and composure in complex spaces.

• Strong background in computational biology, bioinformatics, or related field
• Experience with tools such as Python, R, Bioconductor, Nextflow, or Snakemake
• Comfortable working with genomic, transcriptomic, or multi-omic data
• Able to collaborate with non-technical stakeholders and communicate complexity clearly
• Knowledge of data ethics, regulatory contexts, or clinical applications is a plus

We don't expect perfection—we look for people who ask good questions and build with care.

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