Clinical Bioinformatician

NextLink Group; Slough; Vor Ort; GBP 70.000 - 100.000; Vollzeit

Zusammenfassung

Zohorecruit is seeking a senior bioinformatician to process and interpret omics data for clinical assets. You will build analysis pipelines with state-of-the-art tools and document workflows for reproducibility.

The role requires a PhD or Master with 5+ years, extensive RNA-seq experience (bulk and single-cell), and strong skills in R, Docker, and HPC environments. Experience with publications and clinical correlations is a plus.

Qualifikationen

• Master/PhD with at least 5 years of industry or equivalent experience
• Expertise in preprocessing, integration and analysis of omics data types, especially bulk and single-cell RNAseq
• Experience with spatial data, epigenomics and proteomics is advantageous
• Experience developing methods for functional interpretation of omics data (pathway enrichment, module detection, causal reasoning)
• Experience relating omics results to clinical variables is a plus
• Excellent computational skills in HPC/Unix, cloud-based pipelines and containerization (Docker) for reproducible workflows
• Proficiency in R and other programming languages; strong coding and reproducibility practices
• Strong understanding of statistics, data mining, and visualization of biological data
• Ability to communicate results to experts and non-experts and contribute to publications

Aufgaben

• Process, analyzes and interprets omics data for assets in the clinical portfolio
• Develop approaches and pipelines using state-of-the-art tools
• Document code and analyses ensuring reproducibility
• Draft reports and contribute to scientific publications and abstracts

Kenntnisse

Omics data analysis

RNA-seq analysis

R programming

Python

HPC Unix

Docker

DNAnexus

Cloud platforms

Statistics

Data visualization

Scientific communication

Ausbildung

Master/PhD with 5+ years experience

Tools

Docker

DNAnexus

Unix HPC

Cloud platforms

R

Jobbeschreibung

Slough, United Kingdom | Posted on 09/28/2026

What you’ll do

• With minimal guidance of senior staff,processes, analyzes and interprets data from omics studies for assets in theclinical portfolio, to refine understanding of biological mechanisms, diseasepathobiology, characterise treatment effect, safety signals and other relevantinsights.
• Develops approaches, methods, analysispipelines utilizing state-of-the-art tools and technologies to enable theabove.
• Documents code, analyses and ensurereproducibility of results according to best practices suited to patient-leveldata
• Draft reports detailing methods and resultsthat require minimal revision. Drafts /contributes to scientific publications that present the results of theseanalyses (conference abstracts/presentations and manuscripts).

Requirements

• Master/PhD with atleast 5 years of experience, preferably with industry experience.
• Expertise in pre-processing, integration andanalysis of different omics data types, in particular extensive experienceanalysing large bulk and single-cell RNAseq datasets from complex studies, and experiencederiving relevant biological insights from these. Experience with spatial data, epigenomics and proteomics is an advantage.
• Expertise in the development and applicationof methods pertinent for functional interpretation of omics data e.g. pathwayenrichment, functional module detection, causal reasoning.
• Experienceanalyzing and deriving insights using large omics datasets from clinical trialsand relating omics data results to clinical variables is a plus.
• Excellent computational skills, such as experienceof operating in a HPC Unix environment, cloud-based computational and/orpipelining platforms, and containerization technologies (e.g., Docker) forreproducible and portable bioinformatics workflows. Experience using DNAnexusis a plus.
• Proficiency using R in particular, and alsoother programming languages common to the bioinformatics community. Ability to documentcode and follow coding best practices, in particular suited to patient-leveldata, to ensure reproducibility of results.
• Good understanding of statistics, datamining, and visualization of biological data types and the standard tools usedin these domains.
• Ability to interpret and communicateefficiently (orally and with reports) the outcomes of analytical work to bothexpert and non-expert scientific audience to foster efficient decision-making. Preferably experience in authoring scientific publications.