Research Associate (Bioinformatics) - reference 3212BR

Wales Gene Park, Cardiff University
Job Location
Cardiff University
School of Medicine
CF14 4XN
United Kingdom
£31,342 - £37,394 per annum (Grade 6)
Job Description

A highly motivated and enthusiastic full-time bioinformatician is sought to handle and analyse Next Generation Sequence (NGS) data to support biomedical research in Wales.  

You will join an established team of bioinformaticians and laboratory staff within the Genomics Facility of Wales Gene Park.  Established 2002, and based in Cardiff University’s School of Medicine, Wales Gene Park supports genomics research throughout Wales.  Through our close collaboration with the NHS All Wales Genetic Laboratory, we use HiSeq, MiSeq, and Ion Torrent technologies to generate genomic data to support a diversity of biomedical research in human cancers and medical genetics. 

Alongside our existing team and working closely with ARCCA, the University’s Advanced Research Computing Facility, you will handle, manipulate and analyse NGS data generated by us and external providers. You will provide specialist advice and experimental design expertise to colleagues looking to exploit exome-seq, RNA-seq, ChIP-seq, and whole genome re-sequencing amongst other standard workflows as well as help develop novel NGS workflows.  You will also contribute to our various training programmes.  

You will have a postgraduate degree at PhD level in a related subject area or relevant industrial experience.  You will be working closely with an established team of bioinformaticians so previous experience of handling Next Generation Sequencing data, whilst desirable, is not essential.  

What is essential is that you have proven experience in writing software code in Perl, Python, Java, C/C++, or similar computer language, have good communication skills, are self motivated, and are willing and able to work accurately to a deadline. You will be expected to work within a Unix command line environment utilising standard pre-existing bioinformatics packages and pipelines as well as your own bespoke software solutions. A background in biological sciences, whilst highly desirable, is not essential.

Informal enquires should be addressed to Dr Kevin Ashelford (

This is a full-time position (35 hours per week) and fixed-term until 31st March 2018. 

Salary £31,342 - £37,394 per annum (Grade 6)


Essential Criteria

Qualifications and Education

1. Postgraduate degree at PhD level in a related subject area or relevant industrial experience

Knowledge, Skills and Experience

2. A demonstrable ability to design, write, and maintain robust and reliable computer software code to a standard acceptable for a high-throughput sequencing production environment in at least one of the following computer languages: Perl, Python, C, C++, C# or Java. 

3. A good working knowledge of the Unix command-line computer environment and a willingness to work predominately within this environment.

4. You should have the capability and drive to be successful in competitive research funding.

5. Contribution to scientific publications in national or international journals.

Communication and Team Working

6. Proven ability in effective and persuasive communication, verbally and in writing.

7. Ability to supervise the work of others to focus team efforts and motivate individuals


8. Proven ability to demonstrate creativity, innovation and team-working within work

9. Experience of giving presentations at conference/meetings

10. Satisfactory evidence of a capacity and willingness to self-motivate and work to strict deadlines with competency and precision.

Desirable Criteria

1. A postgraduate degree at MSc or PhD level in bioinformatics with a specialism in NGS datasets. 

2. A background in biological sciences with emphasis on human genomics and genetics.

3. Experience of server-side software development, website design, and implementation and maintenance of relational databases.

4. Experience of scripting in R and use of the Bioconductor suite of tools.

5. Proven ability to adapt to the changing requirements of the Higher Education / Research community. 

6. Evidence of ability to participate in and develop both internal and external networks and utilise them to enhance the research activities of the School.

How to Apply

Please apply via the Cardiff University Job Opportunities website at  

Search for the post, reference number 3212BR, or direct link: website at

About Our Organization

This post is supported through Health and Care Research Wales funding of the Wales Gene Park.  Continually evolving since 2002, Wales Gene Park brings together and supports Wales’ considerable expertise in genetics and genomics, helps knowledge transfer from researchers to the NHS and commercial sectors, and has active programmes in professional education and public involvement.  We support research in common diseases, rare diseases and genomic medicine generally, through our Genomics Facility, Genome Editing and Transgenics Facility and our Education and Engagement group. The currently advertised post will be based within the Genomics Facility. It will form part of a team of four bioinformaticians and four laboratory research staff.

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