Bioinformatics jobs

Leading independent bioinformatics, computational biology, or genomic epidemiology research projects.

Publishing high-quality research articles in reputable, peer-reviewed journals.

Developing new analytical methods, pipelines, or computational models.

Identifying emerging scientific questions and proposing innovative solutions.

Preparing and submitting competitive research grant proposals to national and international funders.

Securing funding to support group activities, students, and project expansion.

Maintaining a strong publication record aligned with Stellenbosch University's expectations.

Building and maintaining computational workflows for genomic analysis (e.g., phylogenetics, variant calling, functional analysis).

Contributing to open-source tools, databases, or software packages.

Improving scalability, reproducibility, and automation of analysis pipelines.

Presenting research at national and international conferences, workshops, and symposia.

Representing the institution in scientific networks, consortiums, and forums.

Contributing to science communication, policy briefs, and stakeholder engagement where appropriate.

Identifying new research directions aligned with institutional strategic priorities.

Contributing to the development of institutional or national bioinformatics research agendas.

Delivering lectures, seminars, or workshops in bioinformatics, computational biology, genomics, or related modules.

Contributing to postgraduate teaching (Honours, MSc, PhD) through specialised content delivery.

Developing and presenting short courses and advanced training sessions for internal and external participants.

Designing or updating course content, including lecture materials, assessments, and practicals.

Developing new modules aligned with emerging trends (e.g., machine learning in genomics, data science for health).

Ensuring curriculum relevance to local and global bioinformatics needs.

Producing technical reports, preprints, conference papers, and datasets.

Supervising postgraduate students (Honours, MSc, PhD) and postdoctoral fellows.

Providing mentorship on research design, computational methods, and scientific writing.

Guiding junior researchers in developing independence and technical expertise.

PhD in molecular biology, genetics or a related field (e.g., bioinformatics or biological sciences with emphasis on transcriptomics and human genomics).

At least five years' post-PhD experience in the field of bioinformatics.

Proven ability to teach bioinformatics courses effectively at postgraduate level.

Experience supervising postgraduate students up to and including PhD level.

A record of peer-reviewed publications in top-tier journals related to bioinformatics or biomedical research.

Experience working with researchers from diverse backgrounds (biology, computer science, statistics).

Proven experience in processing and analysing Next Generation Sequencing (NGS) high throughput data.

Proficiency in at least three programming languages such as Python, R, Bash, Perl or C/C++, C#, Ruby, and/or Java.

Data analysis skills: good background in statistical analysis techniques relevant to biological data interpretation.

Technical skills: advanced experience with work and setup of computational clusters and servers.

Demonstrable high-level proficiency in software development and programming.

In-depth understanding of molecular biology, genetics, transcriptomics, and genomics, particularly human genomics and gene expression analysis.

Comprehensive knowledge of bioinformatics algorithms, workflows, and software for sequence alignment, variant calling, functional annotation, and data visualisation.

Deep knowledge of programming principles, software development practices, and version control.

Knowledge of computational infrastructure, cluster management, and workflow automation.

Familiarity with grant proposal development, project management, and collaboration in multidisciplinary research environments.

None.