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Altos Labs Logo Altos Labs · Research and Development

Computational Scientist

United Kingdom, Cambridge 55250.00 - 117500.00 GBP / Year · Job Posted January 20, 2026
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Job Description

The Bioinformatics Innovation Hub is a cross-Altos team working on challenging and exciting scientific projects and cutting edge technologies, requiring both the development and implementation of data processing workflows and advanced analytics of multi-modal datasets to unravel the molecular mechanisms underlying cellular rejuvenation and reprogramming.

Job Responsibility

  • Collaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogramming
  • Focus on FAIR data principles in the processing of internal and external NGS sequencing data, data organisation and metadata capture to enable efficient downstream data consumption
  • Generate insights and models from multi-omics datasets to understand patterns, trends and relationships within data to inform decision-making and solve problems
  • Develop and implement state of the art statistical, ML and AI methods for large scale data processing and analysis
  • Produce informative visualisations of complex analyses and embed these in automated and bespoke reports and interactive dashboards
  • Partner with other scientists to establish automated, robust and efficient analytical pipelines for reproducible research and to champion the integration of data science into biological discovery
  • Work with IT and data engineering teams to run analyses at scale in high-performance computing and cloud environments
  • Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches

Requirements

  • PhD in a quantitative field (e.g. computational biology, mathematics, physics) with significant biological background OR a PhD in the life sciences with significant computational experience
  • Extensive knowledge of multi-modal data analysis
  • Proficiency in Python and/or R, Linux. Hands-on skills using data science packages (for instance, Pandas, Scikit-learn, NumPy, Tidyverse, Caret)
  • Statistical analysis background
  • Excellent communication skills. Ability to present complex computational methods to non-experts
  • Established ability to translate biologists’/project team’s scientific questions into analytical strategies and methods
  • Strong collaboration skills and ability to work as part of a team in an international and interdisciplinary environment
  • Outstanding organisational skills and the ability to work independently
  • Familiarity with databases/resources relevant to drug discovery

Nice to have

  • Knowledge of single-cell sequencing technologies and analytical techniques
  • Experience with Nextflow
  • Experience with long read sequencing (Nanopore, PacBio)
  • Experience with cloud providers (e.g. AWS)
  • Background in cellular rejuvenation and reprogramming
  • Familiarity with publicly available single cell data resources
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