Senior Bioinformatics Scientist - Drug Discovery & Omics

Placements24; Polokwane; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Medical & dental coverage

Relocation assistance

State-of-the-art facilities

Career development

Job summary

Placements24 is seeking a Senior Bioinformatics Specialist in Polokwane to accelerate drug discovery through advanced omics data analysis and computational methods. You will work with chemists, biologists, and pharmacologists to integrate data and guide experiments.

The role emphasizes machine learning, data integration, and pipeline development in a team-driven R&D environment using state‑of‑the‑art infrastructure.

Qualifications

• PhD in Bioinformatics, Computational Biology or related field with focus on biological data analysis.
• Minimum 5 years' experience in bioinformatics, drug discovery or pharmaceutical research.
• Strong Python or R programming skills and relevant libraries.
• Experience with omics data types and cheminformatics; ML in bio data.
• Experience with SQL and data warehousing; cloud computing a plus.

Responsibilities

• Develop and implement advanced bioinformatics pipelines for large omics datasets.
• Analyze Genomics, Transcriptomics and Proteomics data to identify targets.
• Integrate HTS data to identify hit compounds for further study.
• Apply statistical modeling and ML to predict efficacy and PK properties.
• Collaborate with chemists and biologists to design experiments and interpret results.
• Develop data visualization tools and dashboards for complex findings.
• Contribute to virtual screening campaigns and stay updated with methods.
• Manage and curate biological databases and knowledge bases.
• Mentor junior bioinformaticians and contribute to publications.

Skills

Python

R

Bioinformatics

Machine learning

SQL

Cloud computing

Education

PhD in Bioinformatics

Tools

Cheminformatics tools

AWS

GCP

Job description

Placements24 is seeking a Senior Bioinformatics Specialist in Polokwane to accelerate drug discovery through advanced omics data analysis and computational methods. You will work with chemists, biologists, and pharmacologists to integrate data and guide experiments.

The role emphasizes machine learning, data integration, and pipeline development in a team-driven R&D environment using state‑of‑the‑art infrastructure.