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Bioinformatics Analyst - Oxford, Oxfordshire, United Kingdom - Global Pathogen Analysis Service Ltd
Description
Joining GPAS Ltd as a Senior Bioinformatician presents a unique and exciting opportunity to contribute to the development, evaluation, and deployment of groundbreaking bioinformatic solutions within a real-world context.
As an essential member of our dynamic, agile team, you will display versatility and a collaborative spirit, reporting to the CSO.
This role promises an opportunity to make a real difference in the world though bioinformatic and cloud-based analysis for patient, hospital and public health benefit.
Develop code, implement and evaluate computational/bioinformatic methods and tools to support research and development in infectious disease genomics including species prediction, AMR determination, and outbreak and relatedness information.
Creating analysis pipelines and validating various tools' performances.Understand various sequencing devices and data types as well have a good enough understanding of upstream laboratory processes.
Collaborate with cross-functional teams including academics, clinicians, computer scientists, biostaticians, and biologist to develop and implement data-driven strategies.
Stay abreast on the latest developments in bioinformatics and computational biology.
Manage and mentor team members, setting performance goals and providing regular feedback.
An organised self-starter with an eye for detail and an interest in how bioinformatic applications can be used to improve health.
A PhD qualification in computer science, bioinformatics, computational biology, microbiology, mathematics, genetic epidemiology, genomics, machine learning or equivalent.~ Strong programming skills in languages such as Bash, Python, R, Nextflow, Snakemake etc.
~ Experience in infectious disease genomic analysis.
~ Having a scientific understanding of infectious disease genomics.
~3-5+ years of experience in bioinformatics and computational biology.
~ An established or upcoming bioinformatic publication history.
~ Experience with large-scale genetic data analysis using bioinformatics tools and pipelines.
~ Experience with regulatory guidelines and systems e.g. Familiarity with machine learning and data visualization techniques.
Experience working in a biotech or pharma industry setting.
A track record of launching an academic product in the commercial market.
We're building a team with a people-first culture.
Joining GPAS is an opportunity to help shape a cutting-edge technology with the capability to dramatically improve clinical diagnostics and treatment.
Competitive industry salaryAdditional employer contribution to the workplace pension scheme
Enhanced sick pay
Group life cover
Employee assistance programme
Generous company holiday allowance, with carry-over into the next year and additional compassionate leave
Staff training budget
Cycle to work scheme
