Senior Bioinformatician - Genomics Data Analysis

S1 2LA Sheffield, Yorkshire and the Humber £65000 Annually WhatJobs

Posted 4 days ago

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Job Description

full-time
We are seeking a talented and experienced Senior Bioinformatician to lead advanced genomics data analysis initiatives for a leading research institution located in Sheffield, South Yorkshire, UK . This critical role involves developing and implementing cutting-edge bioinformatics pipelines to analyse large-scale genomic datasets, including WGS, WES, and RNA-seq. You will play a key part in identifying genetic variants, understanding gene expression patterns, and contributing to groundbreaking discoveries in human health. The successful candidate will work collaboratively with a team of molecular biologists, geneticists, and clinicians, providing crucial computational support and expertise.

Key Responsibilities:
  • Develop, validate, and maintain robust bioinformatics pipelines for the analysis of diverse genomic data types.
  • Perform complex statistical and bioinformatics analyses on next-generation sequencing (NGS) data.
  • Interpret and present genomic findings to both technical and non-technical audiences, including researchers and clinicians.
  • Design and implement quality control procedures for genomic data.
  • Contribute to the design of genomic experiments and data management strategies.
  • Collaborate with research teams to identify and address key biological questions through data analysis.
  • Stay up-to-date with the latest advancements in bioinformatics tools, algorithms, and genomic technologies.
  • Develop and implement scripts and tools to automate analysis workflows.
  • Mentor junior bioinformaticians and provide training on bioinformatics methodologies.
  • Ensure data security, integrity, and reproducibility of analyses.
This is an on-site position, offering the chance to work in a collaborative, state-of-the-art research environment in Sheffield. We offer a competitive salary, excellent benefits, and opportunities for professional development. The ideal candidate will possess a PhD or MSc in Bioinformatics, Computational Biology, Genomics, or a related field, with a minimum of 5 years of relevant experience. Proficiency in programming languages such as Python and R, extensive experience with bioinformatics tools (e.g., GATK, Samtools, STAR, DESeq2), and a strong understanding of statistical genetics are essential. Familiarity with cloud computing platforms (AWS, Azure) for bioinformatics workflows is a plus. Join our dedicated team and contribute to impactful scientific research.
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