Clinical Bioinformatician — Omics Data Scientist (Hybrid)

Talentmark Limited; Slough; Hybrid; GBP 50,000 - 69,000; Full time

Job summary

Talentmark Limited seeks a Clinical Bioinformatician to join a global biopharmaceutical company on a contract basis for about six months. The role is hybrid with three days a week in the Slough office.

You will analyse omics data from clinical portfolio studies, develop analysis methods and pipelines, and document reproducible code and analyses in line with best practices for patient-level data. Experience with RNAseq and single-cell data is essential.

Qualifications

• Master's degree or PhD in a relevant field with experience analysing omics data
• Strong expertise in analysing large bulk and single-cell RNAseq datasets and deriving biological insights
• Excellent computational skills: R, HPC/Unix, cloud or pipelining platforms and Docker

Responsibilities

• Process, analyse and interpret omics data from clinical portfolio studies to uncover biological mechanisms, treatment effects and safety signals
• Develop analysis methods and pipelines using state-of-the-art tools and technologies
• Document code and analyses, ensuring reproducible results in line with best practice for patient-level data
• Write clear, well-structured reports covering methods and results
• Contribute to scientific publications, including conference abstracts, presentations and manuscripts

Skills

R programming

HPC/Unix

Docker

RNA-seq analysis

Single-cell RNA-seq

Pipelines

Statistics

Data visualization

Education

Master's degree or PhD in relevant field

Tools

DNAnexus

Cloud platforms

Job description

Talentmark Limited seeks a Clinical Bioinformatician to join a global biopharmaceutical company on a contract basis for about six months. The role is hybrid with three days a week in the Slough office.

You will analyse omics data from clinical portfolio studies, develop analysis methods and pipelines, and document reproducible code and analyses in line with best practices for patient-level data. Experience with RNAseq and single-cell data is essential.