Pan African Bioinformatics Network for H3Africa

CPGR Next Generation Sequencing (NGS) Bioinformatics Analyst – 8 September 2015

The Centre for Proteomic and Genomic Research (CPGR) is seeking to employ a bioinformatician to assist the organisation in rendering comprehensive data analysis and interpretation support in projects and routine services offerings with a primary focus on Next Generation Sequencing (NGS) technology. As the NGS Bioinformatics Analyst you will be involved in experimental design of projects, data analysis and report writing for the integration of sequencing data in a service environment. The successful candidate will have the opportunity to work with advanced bioinformatics and statistical software, and support the designing, building and managing the CPGR’s data analysis pipelines. You will work in a highly self-sufficient manner interacting with other CPGR staff members, clients, technology providers, and project partners. Your main goal will be to ensure the seamless delivery of the CPGR NGS service portfolio through management of study design, data creation and data interpretation components. In addition, an essential function of the role will be to support the creation of NGS-based Genomic Medicine applications with relevance for South Africa!

Job duties include but are not limited to:

  • Assisting with the statistical design of projects making use of modern genomic sequencing technologies, in particular Illumina MiSeq, IonTorrent, and IonProton, but also including other sequencing or genomics platforms, as needed
  • Develop and implement standardized protocols for analysing data aimed at the development and validation of biomarkers for specific product lines
  • Understanding  and  ensuring  compliance  with  genomic  data  reporting  standards,  in
  • particular  underlying  the  development  and  validation  of  biomarkers  in  drug  and diagnostic test development
  • Report writing
  • Data Management
  • Assisting with software development, validation and documentation within an ISO 9001:2008 compliant manner
  • Performing statistical analysis of genomic data, and using various tools for pathway analysis and systems biological interpretation of data, amongst others


  • MsC or PhD in Bioinformatics, Computational Biology or Computer Science or related field
  • Demonstrated ability and practical experience to analyse and interpret NGS data sets
  • Strong biological background in biochemistry, chemistry, molecular biology, genetics, or a related discipline is an advantage
  • Candidates with a strong background and experience in statistics, mathematics and bioinformatics will be given preference
  • Experience with Linux and shell programming
  • Outstanding written and verbal communication skills
  • Understanding of biomarker development and related data interpretation
  • Working experience in Python, R, Perl Php, MySQL, Java and statistical packages is a plus
  • Practical knowledge of quality management systems, such as ISO 9001:2008, ISO 15189, ISO 17025 and GLP is an advantage

About the CPGR:
The CPGR is a specialist not-for-profit contract research organization established in South Africa through funding by the Technology Innovation Agency (TIA) to provide support and services to the life science and biotech community. It is based on an initiative by the Department of Science and Technology (DST) to boost the development of a bio-economy in South Africa. The CPGR combines state-of-the-art information rich genomic and proteomic ('omics') technologies with bio-computational pipelines, and biological models, to create unique solutions in the human health and the agri-biotech sectors. Information about the CPGR can be obtained at www.cpgr.org.za and www.cpgr.org.za/blogspot

Interested candidates should submit a short cover letter and C.V. together with the names and contact details of two referees to This email address is being protected from spambots. You need JavaScript enabled to view it. by 18 September 2015. Applications will be accepted by email or fax (+27 21 447 3228).

The original job advert can be found here.