Bioinformatics Analyst

BioLegend, Inc.

Macclesfield

On-site

GBP 50,000 - 73,000

Full time

9 days ago

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Job summary

Revvity Omics is seeking an innovative Bioinformatics Analyst on a fixed term contract of circa 6-8 months. The role involves processing NGS data, building pipelines, developing software, and delivering results to customers from a clinical lab environment.

Requirements include a Bachelor’s or Master’s in bioinformatics or related field, 2+ years in bioinformatics, strong Python/SQL/shell skills, and familiarity with AWS and Illumina platforms being a plus.

Qualifications

  • Bachelor’s or Master’s degree in bioinformatics, biostatistics, computer sciences or equivalent in Life Sciences discipline
  • 2+ years of experience in bioinformatics in an industrial, academic, or government laboratory
  • 2+ years of experience in building and delivering NGS data analysis pipelines and software applications
  • Strong programming skills in Python, SQL and shell scripting
  • Experience in AWS (S3, EC2, Lambda, Batch, etc.) is a plus
  • Experience in Illumina's BaseSpace and ICA platforms is a plus
  • Experience in long-read sequencing data technologies (PacBio HiFi, Oxford Nanopore) is a plus
  • Strong oral and written communication and interpersonal skills
  • Ability to work independently as well as work with others in a team
  • Experience in working in a clinical laboratory environment is preferred

Responsibilities

  • Process and manage Next Generation Sequencing (NGS) data analysis
  • Develop data processing pipelines for genomics and other lab testing assays
  • Develop software applications, databases and custom scripts
  • Maintain sample tracking logs and deliver results to customers
  • Support internal and external data analysis and application development projects
  • Assist in managing data archival, storage and computing resources
  • Collaborate with other business stakeholders to identify challenges and present solutions

Skills

Python
SQL
Shell scripting
NGS data analysis
Data processing pipelines
Biostatistics

Education

Bachelor’s or Master’s degree in bioinformatics
Life Sciences discipline

Tools

AWS
Illumina BaseSpace
Illumina ICA
PacBio HiFi
Oxford Nanopore

Job description

Revvity Omics is one of the world’s largest providers of newborn screening services and offers comprehensive genetic testing solutions that help provide insight into the complex nature of rare and inherited diseases. We are looking for an innovative Bioinformatics Analyst to join our bioinformatics team for a fixed term contract of circa 6-8 months.

Duties and Responsibilities
  • Process and manage Next Generation Sequencing (NGS) data analysis
  • Develop data processing pipelines for genomics and other lab testing assays
  • Develop software applications, databases and custom scripts
  • Maintain sample tracking logs and deliver results to customers
  • Support internal and external data analysis and application development projects
  • Assist in managing data archival, storage and computing resources
  • Collaborate with other business stakeholders to identify challenges and present solutions
Qualifications
  • Bachelor’s or Master’s degree in bioinformatics, biostatistics, computer sciences or equivalent in Life Sciences discipline
  • 2+ years of experience in bioinformatics in an industrial, academic, or government laboratory
  • 2+ years of experience in building and delivering NGS data analysis pipelines and software applications
  • Strong programming skills and proficient in programing languages including Python, SQL and shell scripting
  • Experience in AWS (S3, EC2, Lambda, Batch, etc.) is a plus
  • Experience in Illumina's BaseSpace and ICA (Illumina Connected Analytics) platforms is a plus
  • Experience in long-read sequencing data technologies (PacBio HiFi, Oxford Nanopore) is a plus
  • Strong oral and written communication and interpersonal skills
  • Ability to work independently as well as work with others in a team
  • Experience in working in a clinical laboratory environment is preferred
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