Senior Bioinformatics Scientist — Hybrid Genomics & ML

Placements24; Johannesburg; Hybride; ZAR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health insurance

Retirement plan with employer matching

Professional development

Hybrid work model

Paid time off

Résumé du poste

Placements24 in Johannesburg, Gauteng is seeking a Senior Bioinformatics Research Scientist to lead analyses in genomics and drug discovery. You will develop pipelines, apply ML, and mentor scientists while collaborating with biologists, chemists, and software engineers.

The role emphasizes statistical rigor, pipeline development, and publication-quality outputs in a hybrid on-site/remote setting at our Johannesburg facility.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.

Responsabilités

• Design and implement bioinformatics analyses for large-scale genomic and transcriptomic datasets.
• Develop and optimize computational pipelines for data processing, quality control, and variant calling.
• Apply statistical and machine learning methods to identify significant biological patterns and biomarkers.
• Collaborate with experimental teams to interpret results and design future experiments.
• Contribute to the development of novel algorithms and software tools for biological data analysis.
• Manage and curate biological databases, ensuring data integrity and accessibility.
• Prepare technical reports, manuscripts for publication, and present findings at scientific conferences.
• Mentor junior scientists and contribute to the overall scientific strategy of the research group.

Connaissances

Python

R

Perl

statistical analysis

machine learning

Formation

Ph.D. in Bioinformatics or related field

Outils

BLAST

Ensembl

UCSC Genome Browser

Description du poste

Placements24 in Johannesburg, Gauteng is seeking a Senior Bioinformatics Research Scientist to lead analyses in genomics and drug discovery. You will develop pipelines, apply ML, and mentor scientists while collaborating with biologists, chemists, and software engineers.

The role emphasizes statistical rigor, pipeline development, and publication-quality outputs in a hybrid on-site/remote setting at our Johannesburg facility.