Remote Senior Computational Biologist - Genomics & AI

Placements24; Mossel Bay; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Health insurance

Home office stipend

Conference access

Professional development

Job summary

Placements24 is recruiting a remote Senior Computational Biologist to lead analysis of genomics and systems biology data for drug discovery. You will design scalable pipelines, apply ML models, and translate complex results for cross-functional teams worldwide.

The role requires a PhD and 5+ years in computational biology or bioinformatics, with Python/R proficiency, cloud and container tech, and strong communication in a remote setting.

Qualifications

• PhD in a quantitative field such as Computational Biology, Bioinformatics, CS or Statistics.
• 5+ years post-PhD in computational biology or bioinformatics with omics data focus.
• Proficiency in Python or R with data analysis libraries (SciPy, NumPy, Pandas).
• Experience with cloud platforms and Docker is highly desirable.

Responsibilities

• Design computational strategies for large-scale omics data analysis (genomics, transcriptomics, proteomics, epigenomics).
• Develop statistical and ML models to identify patterns, biomarkers, targets.
• Integrate diverse data sources to understand disease mechanisms and drug response.
• Collaborate with biologists and clinicians to define questions and interpret results.
• Build and maintain robust, scalable bioinformatics pipelines.
• Visualize data to communicate findings to technical and non-technical audiences.
• Contribute to novel analytical methods and stay current with research.
• Mentor junior computational biologists and share expertise.

Skills

Python

R

Bioconductor

Cloud computing

Docker

Machine learning

Education

PhD in Computational Biology / Bioinformatics / CS / Statistics

Tools

SciPy

NumPy

Pandas

Bioconductor

Job description

Placements24 is recruiting a remote Senior Computational Biologist to lead analysis of genomics and systems biology data for drug discovery. You will design scalable pipelines, apply ML models, and translate complex results for cross-functional teams worldwide.

The role requires a PhD and 5+ years in computational biology or bioinformatics, with Python/R proficiency, cloud and container tech, and strong communication in a remote setting.