Senior Computational Biologist - Bioinformatics & Machine Learning

Amatica Health
· Remote on UK hours (UK preferred; EU considered)
· Full-time
· Equity

Amatica is a patient-founded data science and precision medicine company building one of the world’s largest and richest databases for chronic neuroimmune diseases, especially Long COVID and ME/CFS. These diseases significantly affect tens of millions of people and yet lack any approved diagnostics or treatments. Our aim is to develop precision medicine leads for this cluster of diseases and improve the lives of millions of people.

We were a first mover offering direct-to-consumer RNA sequencing, developing advanced data exploration tools and insights for both patients and healthcare practitioners. Each new patient expands our multi-omics database open-endedly, together with questionnaire and clinical data.

We’re now scaling towards a data scale that allows us to study clinically important patient subgroups, match patient signatures to treatment outcomes, and advance towards biomarker and target identification.

We are looking for a computational scientist and future leader to develop and lead the execution of our multi-omics data science programmes and be part of building our data science team as we scale.

Your job is to work with our engineering team to develop our data architecture and drive our research into this complex disease population, leveraging state of the art Machine Learning methods. The two initial pillars are molecular subgrouping and stratification of a uniquely heterogeneous patient population and treatment response prediction
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Our data scale is at the threshold of where these discoveries become possible. Your job is to drive that research. What we find becomes the patient- and healthcare practitioner-facing insights that drive adoption, published findings with our world-leading academic collaborators, and the company’s proprietary signals that can be developed formally.

You'll also help shape how we capture and structure data going forward. As the person leading the analysis, you'll work closely with our founders and wider team on data architecture and quality decisions, as well as experimental design.

This is a hands-on individual contributor role today, with a path to building and leading the team as we scale. We're hiring a future leader who is inspired by a complex disease area with no existing clinical pathways and who wants to shape what the next generation of data science departments will look like.

• End-to-end analysis of our whole blood bulk RNAseq data: QC, batch handling, signature development
• Multi-omics analysis as we layer on additional omics modalities including proteomics, WGS, epigenomics, metabolomics and ultimately single cell multi-omics.
• Apply state of the art computational and ML methods to drive our R&D and discovery
• Build treatment response and outcome classifiers, with the validation discipline that real clinical cohorts demand
• Integrate molecular data with our symptom and treatment questionnaire data; mapping patient presentation onto biology
• Generate and test your own hypotheses - bring findings and directions to the team and shape our strategy
• Shape data architecture, capture and quality standards alongside our engineering team, who product ionise your work so you can stay in the science
• Contribute to the scientific story we tell patients, clinicians, partners and investors, and help chart the path from discovery signal towards clinical development

• PhD in bioinformatics, computational biology, precision medicine data science, Machine Learning in a biological context or a closely related field, from a leading research institution, with relevant…