Bioinformatics Analyst

Oxford Nanopore Technologies

Aug 12

Applications are closed

Job
Full-time
Entry, Junior, Mid & Senior Level
Oxford

Requirements

An MSc (or equivalent experience) involving a substantial amount of bioinformatics and/or data analysis
Practical experience with the processing and analysis of large genomic datasets, and their associated metadata
Practical experience handling sequencing data with exposure to the commonly used software tools (samtools, bcftools), algorithms (alignment, assembly), and file formats (FASTQ, BAM, VCF)
Familiarity with long-read sequencing data analysis
Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Knowledge of statistics and experience using statistical packages for analysing large-scale genomics datasets
A self-starter who can learn independently
Good communication and interpersonal skills
Willingness to adapt and listen to feedback from peers

Responsibilities

The role requires an individual to leverage computational and analytical techniques to extract meaningful insights from biological data. To this end, the individual will be responsible for developing a high level of familiarity and proficiency in executing EPI2ME workflows, coupled with a requisite knowledge base encompassing rare diseases, cancer, and infectious diseases, as appropriate. They will work closely with workflow developers in the team to continually test and validate EPI2ME workflows, employing state-of-the-art tools to generate validation and verification reports. They will work with laboratory scientists during assay development to feedback key performance metrics. They will ensure the use of an appropriate structured framework to document the outcomes of the evaluation process, which will then be used by developers to improve and refine workflow software. They will also assist with producing documentation and troubleshooting.
Run EPI2ME workflows to perform data analysis of complex datasets, across a number of applications within rare disease, cancer, and infectious disease
Carry out validation and verification and generate metrics to monitor the performance of EPI2ME workflows and associated tools, including sensitivity and specificity calculations
Carry out validation and verification and generate metrics to monitor the performance of laboratory workflows, including sensitivity and specificity calculations
Interpret the results of genomics data analysis using statistical techniques, and provide ongoing reports to monitor sequencing performance over time
Work with data science colleagues in the Product Performance group to establish in-field monitoring of products
Maintain knowledge of external advances in the field of long-read data analysis
Maintain knowledge of relevant bioinformatics tools and software
Develop and implement databases, data collection systems, data analytics and other strategies that optimise efficiency and quality of analyses performed
Locate and define new process improvement opportunities
Work collaboratively with laboratory scientist, workflow developers and other data analysts to refine analysis code and improve workflow performance

FAQs

What qualifications are required for the Bioinformatics Analyst position?

An MSc (or equivalent experience) involving a substantial amount of bioinformatics and/or data analysis is required.

What type of experience is necessary for this role?

Practical experience with the processing and analysis of large genomic datasets and handling sequencing data, including exposure to software tools like samtools and bcftools.

Will the Bioinformatics Analyst need to work with clinical applications?

Yes, the analyst will be involved in testing and validating bioinformatics analysis workflows for clinical and regulated applications.

Is experience with long-read sequencing data analysis required?

Yes, familiarity with long-read sequencing data analysis is expected.

What key responsibilities will the Bioinformatics Analyst have?

The analyst will run EPI2ME workflows, carry out validation and verification, interpret genomics data results, and work collaboratively with laboratory scientists and workflow developers.

What analytical skills are essential for this position?

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy are essential.

Are there opportunities for process improvement in this role?

Yes, the analyst will be responsible for locating and defining new process improvement opportunities.

What type of reporting will the Bioinformatics Analyst be involved in?

The analyst will provide ongoing reports to monitor sequencing performance over time and generate validation and verification reports.

Does the company provide any benefits?

Yes, Oxford Nanopore offers outstanding benefits including an attractive bonus, generous pension contributions, private healthcare, and an excellent starting salary.

Is there a commitment to diversity and inclusion in the hiring process?

Yes, Oxford Nanopore is committed to assessing all candidates on their merits, qualifications, and abilities, without discrimination based on various factors including gender, race, or disability.

Oxford Nanopore Technologies

Our goal is to enable the analysis of anything, by anyone, anywhere.

Science & Healthcare

Industry

201-500

Employees

2005

Founded Year

Mission & Purpose

Oxford Nanopore Technologies is a pioneering biotechnology company that specializes in the development and commercialisation of innovative DNA sequencing technology. With a focus on providing portable, real-time sequencing solutions, Nanopore Technologies offers a range of products and services based on nanopore sequencing technology. Nanopore sequencing allows for the rapid and scalable analysis of DNA, RNA, and proteins, enabling researchers to gain insights into genomics, transcriptomics, and proteomics in various fields, including healthcare, agriculture, and environmental science.