Bioinformatician / Senior Bioinformatician (Crossley Group) (Fixed Term)

University of Cambridge; Cambridge; On-site; GBP 40,000 - 60,000; Full time

Job summary

A prestigious educational institution in Cambridge is seeking a Bioinformatics Lead to oversee computational projects related to RNA-DNA hybrid molecules. The ideal candidate will have a Master's or PhD in Bioinformatics, extensive experience in programming and genomic dataset analysis, and strong critical thinking skills. This role involves leading collaborative efforts, optimizing data pipelines, and guiding experimental designs for cancer detection and treatment. The position offers a chance to contribute to groundbreaking research in an academic setting.

Qualifications

• Extensive experience in bioinformatics including programming and analysis of genomics datasets.
• Ability to develop bioinformatics codebases and reproducible analysis pipelines.
• Deep understanding of biological principles to generate hypotheses.

Responsibilities

• Lead computational projects and optimize data analysis pipelines.
• Collaborate with group members to generate sequencing data.
• Guide experimental design and data generation to support research aims.

Skills

Programming languages proficiency

Analysis of genomics datasets

Critical thinking

Version control

Education

Master’s or PhD in Bioinformatics

Tools

Open-source software

Job description

Overview

The Crossley research group ( ) studies RNA-DNA hybrid molecules called R-loops - how they are dysregulated in human disease, drive genome instability and inflammation, and how these molecules and cellular responses to them can be harnessed for cancer detection and treatment. We use biochemical, imaging and genomics approaches to study molecular mechanisms underlying R-loop biology and their clinical applications.

Responsibilities

• You will lead computational projects, build and optimize data analysis pipelines and collaborate with and mentor group members.
• You will work collaboratively with Dr. Crossley and other group members who will generate sequencing data.
• You will help guide experimental design and data generation to support the group's research aims.

Qualifications

• You will have a Master’s or PhD in Bioinformatics (or related field) and extensive experience, including a variety of programming languages and platforms, analysis of genomics datasets in an academic setting, and a robust understanding of statistics.
• Strong critical thinking and independence is required, to work with first-in-class sequencing data from RNA-DNA hybrids from biological and clinical samples, and to help develop new hybrid sequencing methods (e.g. single-cell and long-read).
• As the bioinformatics lead of a new research group, a willingness and ability to set up effective and durable bioinformatics codebases, including version control and reproducible analysis pipelines, is essential.
• Experience with and willingness to leverage and build upon existing open-source solutions is highly desirable.
• A deep understanding of biological principles is essential, to generate hypotheses and mechanistic insight from our
• The work will focus mainly on the analysis of large-scale genomics datasets, mainly RNA-DNA hybrid sequencing (cellular and extracellular) and RNA/ChIP/ATAC-seq, to support our discovery and translational research.