Post Doc - Bioinformatician

Kemio Consulting; London; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading cancer research institute in London is seeking a motivated Post Doctoral Researcher to join their team. In this role, you will integrate and analyze high-throughput genomic data to uncover new therapeutic targets in breast cancer. Ideal candidates will have a PhD in a quantitative field and experience with genomic/transcriptomic data analysis. Join us to make a meaningful impact in cancer research.

Qualifications

• PhD in a quantitative field.
• Experience in the analysis of genomic/transcriptomic data.
• Proficiency in R or Python.

Responsibilities

• Perform integrative analysis of high-throughput molecular profiling data.
• Collaborate closely with scientists to translate discoveries.
• Communicate findings through publications and presentations.

Skills

Data analysis

Statistical methods

Programming (R or Python)

AI/ML exposure

Communication skills

Education

PhD in quantitative field (bioinformatics, computational biology, statistics, maths)

Job description

Overview

Post Doctoral Researcher - Bioinformatics - Breast Cancer Genomics – Location: London - Onsite. Contract Type: Full-time FTC.

We are seeking a highly motivated and talented Computational Research Scientist to join our cutting-edge research programme focused on treatment-resistant breast cancers. This is an exciting opportunity to contribute to the understanding of genomic and transcriptomic determinants of heterogeneity in aggressive breast cancer, using state-of-the-art computational and statistical methods.

You will be working at the interface of computational biology and translational cancer research, applying and developing computational approaches to integrate bulk and single-cell genomic/transcriptomic data with imaging assays, with the aim of identifying novel mechanisms of therapy resistance and discovering new therapeutic targets.

Key Responsibilities

• Perform integrative analysis of high-throughput molecular profiling data from patient-derived samples and organoids.
• Analyse and validate findings using public genomic and transcriptomic datasets.
• Collaborate closely with experimental and clinical scientists to translate computational discoveries into pre-clinical and translational studies.
• Contribute to the optimisation and extension of computational pipelines for large-scale data processing.
• Communicate findings through scientific publications and presentations in a highly collaborative, multidisciplinary environment.

Essential Requirements

• You must have a PhD in a quantitative field (e.g. bioinformatics, computational biology, statistics, maths).
• Post doc experience is a plus but not a must
• Experience in the analysis of genomic and/or transcriptomic data
• Proficiency in programming and scripting (e.g. R or Python).
• Solid understanding of statistical methods and data integration techniques.
• Exposure to AI/ML
• Excellent communication skills and the ability to work effectively within a multidisciplinary team.

This is an opportunity to contribute to impactful cancer research in a world-class institute. You will gain experience in cancer stem cell biology, advanced data science, and statistical modelling while working on clinically relevant questions in breast cancer.

We are looking for a proactive, innovative thinker with a strong background in computational biology and a keen interest in cancer research. If this sounds like you please apply to be considered for the role.

Keywords: bioinformatics / bioinformatician / computational biology / computational biologist / post doc / post doctoral / cancer / oncology / research / genomics / transcriptomics