Bioinformatics Scientist/Engineer – DRAGEN Array

Overview

In this role you will drive innovation in bioinformatics for genotyping and genetics products, delivering scalable computational workflows and enabling translational research. You will work with wet-lab scientists, product teams and engineers to build robust, production-grade solutions that translate genomic data into actionable insights. You’ll shape algorithms, statistical models and software practices to support array and NGS applications at scale. This is a collaborative, impact-driven opportunity in a world-class DRAGEN Array team. You will contribute to a high-visibility mission to advance precision medicine and health outcomes globally.

Pay / Benefits

• competitive employee benefits program
• flexible time off
• weeklong company-wide summer shutdown
• pension contribution (UK) 10%
• private medical insurance (UK)
• potential equity

Responsibilities

• Lead design and development of algorithms and probabilistic models for array and NGS data analysis
• Apply statistical, computational, and machine‑learning methods to large genetic and epigenetic datasets
• Design and develop production‑grade software that automates analytical workflows at scale
• Contribute to testing automation across bioinformatics pipelines
• Define and maintain CI/CD workflows for reliable delivery of DRAGEN Array software
• Implement telemetry, logging, and monitoring to improve observability and robustness
• Execute Software Lifecycle practices including requirements traceability and verification
• Collaborate with wet-lab scientists, product management, and engineering to translate scientific needs into solutions
• Provide mentorship and technical guidance to other scientists and engineers, and share best practices

Key requirements

• Deep expertise in bioinformatics algorithm development, statistical modelling, and computational genomics
• Experience building production-quality software in scientific or commercial settings
• Experience with array and NGS technologies, machine learning, and scalable software development
• PhD in relevant field
• Programming in Python and/or R
• Experience with testing automation, CI/CD and software lifecycle processes
• Excellent communication and collaboration skills

• cross-functional collaboration
• strong communication
• mentorship and leadership (staff level)
• bioinformatics algorithm development
• statistical modelling
• genomic data analysis at scale

Full job description from WhatJobs. Apply for this role →