Lead Computational Biologist - Remote Genomics & Targets

Placements24

Gauteng

Hybrid

ZAR 1,200,000 - 1,800,000

Full time

7 days ago
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Benefits offered by this job

Remote work infrastructure
Home office allowance
Health insurance
Generous paid time off
Flexible working hours
Conference participation

Job summary

Placements24 is seeking an experienced Lead Computational Biologist to drive our remote-first bioinformatics initiatives. You will guide research directions, build scalable pipelines for WGS, WES, and RNA-Seq, and mentor a distributed team of bioinformaticians in a flexible environment.

You will collaborate with clinical and experimental scientists to translate complex genomic data into actionable insights for precision medicine and drug discovery, while advancing data governance and

Qualifications

  • PhD in Computational Biology, Bioinformatics, CS, Statistics, or a related field.
  • 7+ years in bioinformatics research, with 2+ years in leadership.
  • Proficiency in Python and R; experience with Bioconductor.
  • Experience with cloud platforms (AWS, GCP, Azure) and HPC.

Responsibilities

  • Develop and validate bioinformatics pipelines for WGS/WES/RNA-seq.
  • Lead computational analyses to identify biomarkers and targets.
  • Mentor a remote team of computational biologists.
  • Collaborate with experimental scientists to interpret results.
  • Maintain data management strategies and data integrity.
  • Stay current with ML, genomics advancements.

Skills

Python
R
Bioconductor
Leadership
Cloud computing

Education

PhD in Computational Biology / Bioinformatics

Tools

BWA
Samtools
GATK
HPC

Job description

Placements24 is seeking an experienced Lead Computational Biologist to drive our remote-first bioinformatics initiatives. You will guide research directions, build scalable pipelines for WGS, WES, and RNA-Seq, and mentor a distributed team of bioinformaticians in a flexible environment.

You will collaborate with clinical and experimental scientists to translate complex genomic data into actionable insights for precision medicine and drug discovery, while advancing data governance and

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