Bioinformatics Scientist

4 days ago

Durban, KwaZulu-Natal, South Africa Afrique Connection Consultancy Full time

Our client is seeking to appoint an experienced
Bioinformatics Scientist
to lead and support high-impact research that underpins clinical trial and translational research agenda. The successful candidate will be based at the Doris Duke Medical Research Institute in Durban and will play a central role in driving scientific discovery, supporting multi-omics research and ensuring high-quality data generation and analysis. This role requires scientific leadership, strong analytical skills and the ability to work collaboratively across multidisciplinary teams.

Roles & Responsibilities

  • Lead the design, development and execution of genomics and bioinformatics analyses supporting our clinical trials and cohort studies (including host, viral, bacterial, and metagenomic datasets).
  • Ensure all analyses meet rigorous scientific, ethical, and data governance standards.
  • Develop, optimise, and maintaiin computational pipelines for multi-omics data, including 16S/shotgun metagenomics, transcriptomics, proteomics, and viral genomics.
  • Provide bioinformatics support for manuscript development, grant applications, proposal writing, and scientific presentations.
  • Work collaboratively with laboratory scientists, clinicians, epidemiologists, and data science teams to generate integrated biological insights.
  • Perform high-level data management, curation, QC, and statistical modelling using R, Python, Java, or similar analytical frameworks.
  • Supervise, mentor and support postgraduate students and junior scientists in bioinformatics and computational biology.
  • Contribute to scientific leadership, including participation in working groups, capacity-building initiatives, and innovation platforms.

Qualifications & Requirements

  • PhD in Biological Sciences, Computational Biology, Bioinformatics, or a related field.
  • Demonstrate expertise in genomics and bioinformatics experience at a PhD level.
  • Strong background in viral, bacterial and human genome analysis, including familiarity with next-generation sequencing platforms and computational workflows.
  • Advanced proficiency in data analysis using R, Phyton, JAVA or other biostatistical or programming languages.
  • Proven publication record and experience contributing to or lead grant applications.
  • Experience in supervising and/or mentoring postgraduate students and junior researchers.

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