Principal/Senior Bioinformatics Research Scientist – Visualization Engineer, Web Developer & Designer

St. Jude Children's Research Hospital
Structural Biology
United States TN Memphis


M. Madan Babu's Group ( at the Center of Excellence for Data-Driven Discovery and the Department of Structural Biology is seeking a highly driven, full-time Principal/Senior Bioinformatics Research Scientist to serve as the Web Development and Design lead to support the Kalodimos and Babu Groups on the Blue Sky Initiative "Seeing the Invisible in Protein Kinases." This project is supported by $35 million in institutional funding. This is a joint project between the Kalodimos Lab and the Babu Group at St Jude. (

The ideal candidate will be an expert in UX/UI design and back-end development of web applications to help scientists visualize, analyze and understand high-dimensional biological data. You will have a strong background in computer science, web development, bioinformatics, or computational biology and truly exceptional skills in designing visualizations to render complex, multi-dimensional biological data interpretable and understandable. You should be able to present or provide links to a strong work portfolio that demonstrates your expertise in designing, building, and deploying insightful web-based applications. You will be a team player and will work as part of an interdisciplinary team of 40 scientists including biochemists, NMR spectroscopists, data scientists and bioinformaticians. Exceptional communication (written and verbal) and critical thinking skills are preferred.


- At least Five (5) years of relevant post-degree work experience is required with a PhD.
- Demonstrated expertise in designing, building, and securely deploying powerful web-based interactive applications that interface with internally or cloud-hosted data is required.
- Expert in at least one modern web-framework (React, Angular, Vue, or Django) and at least one modern visualization (D3.js, Three.js).
- Our preference is for candidates who have demonstrated proficiency working with large biological datasets, but we will be happy to consider other candidates who have diverse experience working with large datasets from multiple fields outside of biology.

Start date

As soon as possible

How to Apply

Please apply at When submitting your application, please include your CV and a cover letter, which includes information or a link to a portfolio of past projects.