Senior Bioinformatician - Genomics Research

Placements24

Cape Town

On-site

ZAR 900,000 - 1,400,000

Full time

3 days ago
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Benefits offered by this job

Medical aid
Retirement fund contributions
Generous leave allowances
Conference opportunities
Access to cutting-edge tools
Career advancement

Job summary

Placements24 in Cape Town seeks a Senior Bioinformatician to analyze large-scale genomic and transcriptomic data, develop robust analytical pipelines, and collaborate with scientists across disciplines. The role emphasizes advancing disease mechanisms, drug discovery, and personalized medicine in a cutting-edge environment.

The successful candidate will have 5+ years in bioinformatics, strong genomics experience, and proficiency with Python/Perl and R, plus HPC and cloud computing familiarity.

Qualifications

  • Ph.D. or Master’s degree in Bioinformatics, Computational Biology, Genomics or related field.
  • Minimum 5 years in bioinformatics with genomics focus.
  • Proficiency in Python or Perl, and R for analysis.
  • Experience with HPC environments and cloud platforms.

Responsibilities

  • Develop and implement sophisticated bioinformatics pipelines for NGS data (WGS, WES, RNA-Seq).
  • Analyze large genomic datasets to identify variants and expression patterns.
  • Collaborate with biologists and clinicians to interpret results and plan experiments.
  • Mentor junior staff and contribute to grant writing and manuscripts.

Skills

Python
R
Perl
HPC
Bioinformatics pipelines

Education

PhD in Bioinformatics
MSc in Genomics

Tools

NGS data analysis pipelines
HPC clusters
AWS / cloud

Job description

About the Role

Our client is a pioneering life sciences research organization focused on unraveling complex biological systems through advanced computational approaches. We are looking for a highly skilled Senior Bioinformatician to join our innovative team in Cape Town . This role is crucial for analyzing large-scale genomic and transcriptomic datasets to drive discoveries in areas such as disease mechanisms, drug discovery, and personalized medicine. The successful candidate will work with state-of-the-art sequencing technologies and develop robust analytical pipelines. This is a unique opportunity to contribute to high-impact research in a collaborative and intellectually stimulating environment, situated in the vibrant city of Cape Town, Western Cape .

Key Responsibilities
  • Develop and implement sophisticated bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including WGS, WES, and RNA-Seq.
  • Analyze large and complex genomic datasets to identify significant genetic variations, gene expression patterns, and functional insights.
  • Collaborate with molecular biologists, geneticists, and clinicians to interpret results and design new experiments.
  • Contribute to the development of new algorithms and computational tools for biological data analysis.
  • Maintain and manage bioinformatics databases, ensuring data integrity and accessibility.
  • Visualize and present complex data in a clear and understandable manner to both technical and non-technical audiences.
  • Stay current with the latest advancements in bioinformatics, genomics, and relevant computational biology techniques.
  • Troubleshoot and resolve issues related to data processing and analysis pipelines.
  • Mentor junior bioinformaticians and research staff.
  • Contribute to grant writing and manuscript preparation.
Requirements
  • Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related quantitative field.
  • Minimum of 5 years of relevant experience in bioinformatics, with a strong focus on genomics.
  • Proven expertise in analyzing NGS data, including alignment, variant calling, and differential gene expression analysis.
  • Proficiency in scripting languages such as Python or Perl, and R for data analysis.
  • Experience with high-performance computing (HPC) environments and cluster computing.
  • Familiarity with various bioinformatics databases and ontologies.
  • Strong understanding of molecular biology and genetics.
  • Excellent problem-solving and analytical skills.
  • Effective communication and interpersonal skills, with the ability to work in a multidisciplinary team.
  • Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Comprehensive medical aid and retirement fund contributions.
  • Generous annual leave and sick leave provisions.
  • Opportunities for attending international conferences and workshops.
  • Access to cutting-edge bioinformatics tools and computing infrastructure.
  • A dynamic research environment with opportunities for career advancement.
  • Supportive team culture focused on scientific collaboration.
  • Childcare support and family-friendly policies.
  • Conveniently located in Cape Town.
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