Remote Senior Bioinformatics Scientist — Drug Discovery

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plan

Professional development

Job summary

Placements24 is seeking a Senior Bioinformatics Scientist to join a drug discovery team in a fully remote role. You will analyze large-scale omics data, apply ML methods, and develop pipelines to identify targets and biomarkers, collaborating with biologists and chemists to guide experiments and interpretation.

The ideal candidate has a PhD and 5+ years in bioinformatics, with strong programming in Python or R and experience with genomics, transcriptomics, and proteomics data.

Qualifications

• PhD in a quantitative biosciences field is required.
• Minimum of 5 years in bioinformatics with drug discovery focus.
• Proficiency in Python or R and related libraries.
• Experience with NGS, transcriptomics, proteomics data preferred.
• Strong communication and ability to work independently.

Responsibilities

• Analyze diverse high-throughput biological datasets (NGS, microarray, MS).
• Develop computational methods for target identification and biomarker discovery.
• Implement and optimize bioinformatics pipelines for data processing.
• Apply machine learning to uncover patterns and predictive models.
• Collaborate with scientists to interpret findings and guide experiments.
• Design computational experiments for drug discovery programs.
• Create data visualizations and reports for multidisciplinary teams.
• Stay updated on bioinformatics advances and tooling.
• Contribute to bioinformatics databases and infrastructure.

Skills

Python

R

Machine learning

Data analysis

Communication

Independent work

Education

PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or related

Tools

Biopython

SciPy

NumPy

Ensembl

NCBI

UCSC Genome Browser

Job description

Placements24 is seeking a Senior Bioinformatics Scientist to join a drug discovery team in a fully remote role. You will analyze large-scale omics data, apply ML methods, and develop pipelines to identify targets and biomarkers, collaborating with biologists and chemists to guide experiments and interpretation.

The ideal candidate has a PhD and 5+ years in bioinformatics, with strong programming in Python or R and experience with genomics, transcriptomics, and proteomics data.