Remote Lead Bioinformatics Scientist Genomics & ML

Placements24; Gauteng; Hybride; ZAR 3 046 000 - 4 738 000; Plein temps

Avantages offerts par ce poste

Remote work flexibility

Competitive salary

Professional development budget

Wellness stipend

Résumé du poste

Placements24 is seeking a Lead Bioinformatics Scientist to spearhead the development and application of advanced computational methods for genomics data analysis in a fully remote, globally distributed team.

You will lead a team of bioinformaticians, drive the bioinformatics strategy, and translate complex data into actionable insights for therapeutic discovery and patient care, all while working in a flexible remote environment with state-of-the-art technologies.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or related field.
• 7+ years of progressive bioinformatics experience with 2+ years in leadership.
• Extensive experience with NGS data analysis pipelines and tools (GATK, STAR, Cufflinks, Salmon).
• Strong programming skills in Python and/or R with SciPy/NumPy/Pandas/Bioconductor.
• Experience with cloud platforms (AWS/GCP/Azure) and containerization.
• Proven track record of publications and grants.

Responsabilités

• Lead design, implementation, and validation of bioinformatics pipelines for NGS data (WGS, Exome, RNA-Seq).
• Develop ML models to identify biomarkers and therapeutic targets.
• Collaborate with biologists/clinicians to translate data into experiments.
• Mentor a remote team of bioinformaticians and guide career development.
• Oversee integration of multi-omics datasets.
• Ensure robust, scalable, reproducible workflows.

Connaissances

NGS data analysis

Python

R

Machine learning

Team leadership

Data interpretation

Formation

PhD in Bioinformatics/Computational Biology or related

Outils

GATK

STAR

Cufflinks

Salmon

Docker

Singularity

Description du poste

Placements24 is seeking a Lead Bioinformatics Scientist to spearhead the development and application of advanced computational methods for genomics data analysis in a fully remote, globally distributed team.

You will lead a team of bioinformaticians, drive the bioinformatics strategy, and translate complex data into actionable insights for therapeutic discovery and patient care, all while working in a flexible remote environment with state-of-the-art technologies.