Clinical Bioinformatician

Next-Link; Slough; Sur place; GBP 65 000 - 90 000; Plein temps

Résumé du poste

Next-Link is seeking a Clinical Bioinformatician to support generation of insights from patient-level molecular data in the clinical portfolio. You will work under senior staff to analyze omics datasets, refine understanding of disease mechanisms, and contribute to reports and publications.

Ideal candidates hold a Master’s or PhD with 5+ years of experience, with strong R and Docker experience, HPC Unix proficiency, and a track record of publishing or presenting scientific results.

Qualifications

• Master/PhD with at least 5 years of experience, preferably with industry experience.
• Expertise in pre-processing, integration and analysis of omics data types including RNA-seq, with potential exposure to spatial/epigenomics/proteomics.
• Experience with HPC Unix, cloud-based pipelines and containerization for reproducible workflows.

Responsabilités

• Analyze and interpret omics data from complex studies to refine biological mechanisms and treatment effects.
• Develop analysis pipelines using state-of-the-art tools to enable robust insights.
• Document code, analyses and ensure reproducibility in patient-level data workflows.
• Draft methods and results reports and contribute to scientific publications (abstracts, manuscripts).

Connaissances

R programming

HPC Unix

Data analysis

Biological insights

Scientific communication

Formation

Master's/PhD

Outils

Docker

DNAnexus

Description du poste

To support generation of insights for clinical assets through understanding of mode of action and treatment effects as seen in patient-level molecular data.

What you’ll do

• With minimal guidance of senior staff, processes, analyzes and interprets data from omics studies for assets in the clinical portfolio, to refine understanding of biological mechanisms, disease pathobiology, characterise treatment effect, safety signals and other relevant insights.


• Develops approaches, methods, analysis pipelines utilizing state-of-the-art tools and technologies to enable the above.


• Documents code, analyses and ensure reproducibility of results according to best practices suited to patient-level data


• Draft reports detailing methods and results that require minimal revision. Drafts / contributes to scientific publications that present the results of these analyses (conference abstracts/presentations and manuscripts).

Requirements

• Master/PhD with at least 5 years of experience, preferably with industry experience.


• Expertise in pre-processing, integration and analysis of different omics data types, in particular extensive experience analysing large bulk and single-cell RNAseq datasets from complex studies, and experience deriving relevant biological insights from these. Experience with spatial data, epigenomics and proteomics is an advantage.


• Expertise in the development and application of methods pertinent for functional interpretation of omics data e.g. pathway enrichment, functional module detection, causal reasoning.


• Experience analyzing and deriving insights using large omics datasets from clinical trials and relating omics data results to clinical variables is a plus.


• Excellent computational skills, such as experience of operating in a HPC Unix environment, cloud-based computational and/or pipelining platforms, and containerization technologies (e.g., Docker) for reproducible and portable bioinformatics workflows. Experience using DNAnexus is a plus.


• Proficiency using R in particular, and also other programming languages common to the bioinformatics community. Ability to document code and follow coding best practices, in particular suited to patient-level data, to ensure reproducibility of results.


• Good understanding of statistics, data mining, and visualization of biological data types and the standard tools used in these domains.


• Ability to interpret and communicate efficiently (orally and with reports) the outcomes of analytical work to both expert and non-expert scientific audience to foster efficient decision-making. Preferably experience in authoring scientific publications.

Clinical Bioinformatician Slough, SLG, gb