Impactful Computational Biologist Drug Discovery

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Annual performance bonus

Comprehensive health insurance

Generous vacation policy

Professional development and trainings

Access to advanced computational infra

Job summary

Placements24 is partnering with a leading pharmaceutical research organization in Mossel Bay, Western Cape to recruit a Computational Biologist. You will analyze large-scale omics data, develop predictive models, and help identify novel drug targets within a multidisciplinary team.

Responsibilities include building bioinformatics pipelines, applying statistics, and interpreting results to guide experiments.

Qualifications

• Master’s degree or PhD in Computational Biology, Bioinformatics, CS, or a related field.
• 3–7 years of relevant experience in computational biology or drug discovery.
• Proficiency in Python or R and Linux/Unix environments.
• Experience with omics data analysis and cheminformatics is a plus.

Responsibilities

• Analyze large-scale omics datasets using computational methods.
• Develop predictive models to identify potential drug targets and mechanisms.
• Build and maintain bioinformatics pipelines for data processing and QC.
• Collaborate with chemists, biologists, and pharmacologists to guide experiments.
• Present findings and contribute to publications and conferences.

Skills

Python

R

Bioinformatics

Statistics

Linux

Data analysis

Education

Master’s degree in Computational Biology

PhD preferred

Tools

Git

Snakemake

Docker

SQL

Job description

Placements24 is partnering with a leading pharmaceutical research organization in Mossel Bay, Western Cape to recruit a Computational Biologist. You will analyze large-scale omics data, develop predictive models, and help identify novel drug targets within a multidisciplinary team.

Responsibilities include building bioinformatics pipelines, applying statistics, and interpreting results to guide experiments.