Scientist – Computational Method Development

Company: Hays
Apply for the Scientist – Computational Method Development
Location:
Job Description:

Overview

In this Scientist role, you will develop novel computational methods to translate sequencing data into actionable biology insights and support new product development. You will work within a multidisciplinary team applying advanced analytics to large-scale datasets in genomics and healthcare. The position emphasizes methods development—creating new algorithms and ML/AI approaches to drive real-world impact. This hybrid, permanent role offers collaboration with researchers and engineers, with opportunities to shape scalable workflows and be at the forefront of translational science.

Pay / Benefits

  • competitive salary and package
  • bonus
  • hybrid working
  • flexible working patterns
  • career progression opportunities
  • significant compute resources

Responsibilities

  • Design and build novel algorithms for genomics, sequencing, and large-scale data analysis
  • Develop and evaluate machine learning models for complex scientific questions
  • Validate and benchmark new computational methods on public and proprietary datasets
  • Collaborate with bioinformaticians and software engineers to deploy methods in scalable workflows
  • Cross-team collaboration to translate research into practical applications
  • Own scientific projects from concept to delivery

Key requirements

  • Strong quantitative background with experience creating new computational methods
  • MSc or PhD (completed or near completion) in Computational Biology, Computer Science, Mathematics, Statistics, Physics, ML, Bioinformatics, or related field
  • Experience developing novel algorithms or ML models, preferably in genomics or large-scale biological data
  • Solid programming skills in Python; knowledge of other languages (C/C++, Julia, R, Rust) beneficial
  • Experience delivering computational tools, models, or analytical methods
  • Experience with sequencing data, cloud computing, workflows, ML Ops, or large-scale data infrastructure is advantageous
  • Interest in leading projects
  • leadership potential
  • collaboration
  • problem-solving
  • Python
  • machine learning / ML
  • genomics / sequencing data

…

Posted: October 1st, 2026