Lead Bioinformatics Scientist — On-Site, Genomics & Targets

Placements24

Kempton Park

On-site

ZAR 1,500,000 - 2,100,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Health benefits
Retirement plan
Professional development

Job summary

Placements24 in Gauteng, South Africa, seeks a Lead Bioinformatics Scientist for their on-site Tembisa facility. You will lead a team, shape analytical strategies, and drive interpretation of genomic and proteomic data to identify targets and biomarkers.

This role requires a PhD and 7+ years in bioinformatics, with strong coding in Python/R/Perl, and cloud/docker experience. You will collaborate across biology, drug discovery, and publications while advancing cutting-edge methods.

Qualifications

  • PhD in Bioinformatics, Computational Biology, Statistics, Computer Science or related field.
  • 7+ years in bioinformatics with leadership experience.
  • Proficiency in Python, R or Perl and bioinformatics tools.
  • Experience with next-generation sequencing (NGS) data analysis.
  • Strong data modeling, machine learning and data mining knowledge.

Responsibilities

  • Lead and mentor a team of bioinformatics scientists.
  • Develop and optimize analytical workflows for genomics, transcriptomics and proteomics.
  • Design and optimize pipelines for efficiency, scalability and reproducibility.
  • Collaborate with molecular biologists, geneticists, and drug discovery scientists.
  • Present findings and contribute to grants, publications and conferences.

Skills

Team leadership
Bioinformatics analytics
Communication skills

Education

PhD in Bioinformatics or related field

Tools

Python
R
Perl
Docker
Cloud platforms (AWS, Azure)

Job description

Placements24 in Gauteng, South Africa, seeks a Lead Bioinformatics Scientist for their on-site Tembisa facility. You will lead a team, shape analytical strategies, and drive interpretation of genomic and proteomic data to identify targets and biomarkers.

This role requires a PhD and 7+ years in bioinformatics, with strong coding in Python/R/Perl, and cloud/docker experience. You will collaborate across biology, drug discovery, and publications while advancing cutting-edge methods.

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