Lead Computational Biologist: Genomics & ML Leader

Placements24

Vereeniging

Hybrid

ZAR 2,000,000 - 2,800,000

Full time

7 days ago
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Benefits offered by this job

Competitive remuneration with bonuses
Health insurance
Professional development and training
Generous paid time off

Job summary

Placements24 in Vereeniging seeks a Lead Computational Biologist to spearhead research initiatives. You will develop advanced computational methods for analyzing genomic, transcriptomic, and proteomic data, guiding a team of computational biologists.

Responsibilities include pipeline development, statistical analyses, ML model deployment, and collaboration with clinicians to translate results into potential therapies. Leadership and strong communication are essential for success.

Qualifications

  • Ph.D. in Computational Biology, Bioinformatics, CS, Statistics or related field.
  • 7+ years of experience with leadership in computational biology/bioinformatics.
  • Strong programming in Python, R and/or Perl; Bash scripting.
  • Experience with bioinformatics tools and databases (BLAST, Ensembl, UCSC Genome Browser).
  • Expertise in statistical analysis and machine learning for biological data.
  • Experience with cloud platforms (AWS, GCP) and HPC environments.
  • Proven ability to manage complex projects and mentor junior team members.
  • Excellent communication and collaboration skills; ability to convey complex results.
  • Strong problem-solving and proactive approach in Vereeniging.

Responsibilities

  • Lead development and implementation of computational pipelines for high-throughput data.
  • Design and execute statistical analyses to identify biological patterns and biomarkers.
  • Develop and apply ML algorithms for classification, clustering, and prediction.
  • Collaborate with experimental biologists and clinicians to translate findings.
  • Manage and mentor a team of computational biologists and oversee project execution.
  • Optimize bioinformatics tools and workflows for efficiency and scalability.
  • Stay updated with advances in computational biology and related tools.
  • Contribute to publications, presentations, and grant proposals.
  • Ensure data integrity and secure management of large datasets in Vereeniging.

Skills

Python
R
Perl
Bash scripting
Statistical analysis
Machine learning
Cloud computing
HPC
Leadership
Communication

Education

Ph.D. in Computational Biology

Tools

BLAST
Ensembl
UCSC Genome Browser

Job description

Placements24 in Vereeniging seeks a Lead Computational Biologist to spearhead research initiatives. You will develop advanced computational methods for analyzing genomic, transcriptomic, and proteomic data, guiding a team of computational biologists.

Responsibilities include pipeline development, statistical analyses, ML model deployment, and collaboration with clinicians to translate results into potential therapies. Leadership and strong communication are essential for success.

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