Research Scientist - Genomics

Placements24

Centurion

Hybrid

ZAR 900,000 - 1,200,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Medical, dental, vision insurance
Professional development
State-of-the-art facilities
Collaborative team culture

Job summary

Placements24 in Centurion invites a Research Scientist specializing in Genomics to join our dynamic team in a hybrid role blending independent research with collaboration. You will analyze complex genomic data to unravel pathways and identify variants, bridging computational analysis and biology.

The ideal candidate holds a PhD in Genetics/Genomics/Bioinformatics, has at least 3 years of hands-on experience, and is proficient in Python or R.

Qualifications

  • PhD in Genetics, Genomics, Bioinformatics, or related field.
  • ≥3 years hands-on genomic data analysis.
  • Proficiency in Python or R and bioinformatics tools.
  • Strong understanding of statistics and their application to genomic data.
  • Experience with cloud-based genomic analysis platforms is a plus.
  • Excellent problem-solving skills and ability to work in a hybrid team.

Responsibilities

  • Perform in-depth analysis of next-generation sequencing data (whole-genome, exome, RNA-seq).
  • Identify and interpret genetic variants and associate them with phenotypes or diseases.
  • Develop and optimize bioinformatics pipelines for genomic data processing and analysis.
  • Collaborate with bench scientists to design experiments and validate computational findings.
  • Contribute to writing research papers, grant proposals, and internal reports.
  • Maintain and manage genomic databases and metadata.

Skills

Genomics
Bioinformatics
Python
R
Cloud platforms

Education

PhD in Genetics/Genomics/Bioinformatics

Tools

Python
R
Bioinformatics tools

Job description

About the Role

Our client is seeking a dedicated Research Scientist with a specialization in Genomics to join their dynamic research team in Centurion . This hybrid role offers the flexibility to work both remotely and in the office, blending independent research with collaborative team efforts. You will be at the forefront of analyzing complex genomic data to unravel biological pathways and identify genetic variations associated with various conditions. This position is perfect for a scientist passionate about advancing genomic research, contributing to impactful discoveries, and working within a supportive team that encourages innovation and continuous learning, bridging the gap between computational analysis and biological understanding.

Key Responsibilities
  • Perform in-depth analysis of next-generation sequencing data, including whole-genome, exome, and RNA-seq.
  • Identify and interpret genetic variants, and associate them with specific phenotypes or diseases.
  • Develop and optimize bioinformatics pipelines for genomic data processing and analysis.
  • Collaborate with bench scientists to design experiments and validate computational findings.
  • Contribute to the writing of research papers, grant proposals, and internal reports.
  • Maintain and manage genomic databases and associated metadata.
Requirements
  • Ph.D. in Genetics, Genomics, Bioinformatics, or a related field.
  • Minimum of 3 years of hands-on experience in genomic data analysis.
  • Proficiency in programming languages such as Python or R, and familiarity with relevant bioinformatics tools and databases.
  • Strong understanding of statistical methods and their application to genomic data.
  • Experience with cloud-based genomic analysis platforms is a plus.
  • Excellent problem-solving skills and ability to work effectively in a hybrid team environment.
Benefits
  • Competitive salary and performance-based incentives.
  • Hybrid work model offering flexibility and work-life balance.
  • Comprehensive medical, dental, and vision insurance.
  • Support for professional development, including workshops and conferences.
  • Access to state-of-the‑art research facilities and computational resources.
  • Collaborative and inclusive team culture focused on scientific advancement.
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