Front-End JavaScript Developer in Human Genomics

Project: Development of web-based human interaction methods to overcome interaction barriers with massively multidimensional genomics and machine learning data.

We are seeking a motivated and enthusiastic Front-End Developer to join the research groups of Professor  Jim Hughes,  Associate Professor James Davies and Mr  Stephen Taylor.  You will be a member of the Wellcome Genome Function Initiative (Hughes and Davies) and the Multi-Dimensional Viewer Team (Taylor and Hughes) and will act as the major point of contact between the two teams.

The core focus of these groups is the generation, integration and interrogation of data from innovative molecular methodologies, genomics, such as Micro Capture-C, single genomics/transcriptomics, genome editing, computational biology and machine learning predictions.

The goal of the project is to identify and render interpretable the effect of sequence variation in the non-coding genome to understand its links with common human disease. You will work closely with bench scientists, bioinformaticians and developers in both groups project to develop and implement the most effective user interfaces to existing and new web-based applications.

The over-arching aim of the post is to find ways to breakdown human interaction barriers with massively complex multidimensional data to drive better biological understanding of common human diseases.

You will hold a MSc or PhD in Computer Science, Engineering, Bioinformatics or another related computational subject and have substantial experience of developing user interfaces. Proficiency in JavaScript, including ES6+ syntax is essential.  You should also be familiar with HTML5 and CSS3, including responsive design and accessibility best practices.  You should have experience with modern web development frameworks, such as React, Angular, or Vue.js and with data visualisation libraries, such as D3.js.

This is a fixed-term post until 30 September 2027, funded by the Wellcome Trust.

Applications for this vacancy are to be made online. You will be required to upload a supporting statement detailing how you meet the selection criteria, as part of your online application.

The closing date for this position is noon on 28 October 2024.

Interviews will be held Friday 15 November 2024.

Advert information