Bioinformatician

3 months ago

Oxford, United Kingdom Global Pathogen Analysis Service Ltd Full time

Global Pathogen Analysis Service Ltd (GPAS Ltd) aims to revolutionize the diagnosis and treatment of infectious diseases by developing Whole Genome Sequencing
- and metagenomic-based pathogen clinical analysis tools. We ultimately aim to develop an 'always-on global pathogen metagenomics system with the ability to identify Pathogen X and provide early warning of disease epidemics.'

Built by a long-established world-leading pathogen genomics team from the University of Oxford, supported by the cloud computing scale and security of Oracle Inc, and generously funded by Larry Ellison, GPAS is a global, turn-key solution that systematizes how data from genomic sequencing is processed.

Progressing from our successful Sars-CoV-2 and Mycobacterium tuberculosis toolsets, GPAS Ltd is scaling at pace to develop and deliver speciation, AMR prediction, and relatedness solutions to laboratories, hospitals, and public health organizations around the globe.

**The Role**:
You'll engage closely with our partners at the University of Oxford, demonstrating a mission-driven attitude and adaptability to fulfil our collective objectives. Your contributions will not only be valued but encouraged, as we seek your input on enhancing our offerings, platform, and operational practices. 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.

**Primary Responsibilities**:

- 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.
- Be familiar with current genomic repositories such as ENA, GenBank, GISAID etc.
- 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.
- Be innovative and take initiate to introduce new ideas and approaches.

**Requirements**:
**We are looking for someone with**:

- A PhD or Master’s qualification in computer science, bioinformatics, computational biology, microbiology, mathematics, genetic epidemiology, genomics, machine learning or equivalent.
- Programming skills in languages such as Bash, Python, R, Nextflow, Snakemake etc.
- A scientific understanding of infectious disease genomics analysis.
- 1-3+ 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.
- Ability to work effectively in a high-growth, fast-paced, dynamic environment.

**Nice to haves**:

- Experience using docker and working with cloud computing.
- Experience with regulatory guidelines and systems e.g. FDA, CE, UKCA, EUCAST.
- Familiarity with machine learning and data visualization techniques.
- Experience working in a biotech or pharma industry setting.

**Benefits**

**What we can offer**:
We’re a close knit, collaborative small team. 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 salary
- Additional employer contribution to the workplace pension scheme
- Hybrid working arrangement
- 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
- Volunteering days
- Home working set-up cost contribution
- Access to Bright Exchange that provides special offers from a wide range of companies

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