Remote Senior Bioinformatics Research Scientist

Placements24; Midrand; Hybrid; ZAR 1,200,000 - 1,900,000; Full time

Job summary

Placements24 is seeking a Senior Bioinformatics Research Scientist to join a fully remote, globally distributed team in the biotechnology sector. You will lead advanced analyses of genomic, transcriptomic, and proteomic data, develop pipelines, and apply ML methods to identify biomarkers and predict drug efficacy.

The role requires a PhD or Master's in a quantitative field, 5+ years of experience, and strong programming in Python or R with libraries like Biopython, SciPy, and NumPy.

Qualifications

• PhD or Master's in Bioinformatics, Computational Biology, CS, Statistics, or related quantitative field.
• Minimum of 5 years of post‑doc or industry experience in bioinformatics research.
• Proven expertise in analyzing next‑generation sequencing (NGS) data (RNA‑Seq, WGS, ChIP‑Seq).
• Strong programming skills in Python or R with relevant libraries.

Responsibilities

• Design and implement sophisticated bioinformatics analyses for large-scale genomic, transcriptomic, and proteomic datasets.
• Develop and maintain robust pipelines for data processing, quality control, and statistical analysis.
• Apply machine learning algorithms and statistical modeling to identify biomarkers and predict drug efficacy.
• Collaborate with experimental teams to interpret results and design follow-up studies.
• Present research findings at internal meetings and external scientific conferences.
• Contribute to development of novel algorithms and methodologies in bioinformatics.
• Mentor junior scientists and contribute to team knowledge sharing.
• Ensure data integrity, reproducibility, and compliance with relevant standards.

Skills

Python

R

NGS data analysis

Machine learning

Statistical reasoning

Remote work

Education

PhD in Bioinformatics or related

MS in a quantitative field

Tools

Biopython

SciPy

NumPy

tidyverse

Job description

Placements24 is seeking a Senior Bioinformatics Research Scientist to join a fully remote, globally distributed team in the biotechnology sector. You will lead advanced analyses of genomic, transcriptomic, and proteomic data, develop pipelines, and apply ML methods to identify biomarkers and predict drug efficacy.

The role requires a PhD or Master's in a quantitative field, 5+ years of experience, and strong programming in Python or R with libraries like Biopython, SciPy, and NumPy.