Remote Genomics Data Scientist: Big-Data Biology Impact

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Professional development

Job summary

Placements24 seeks a remote Genomics Data Scientist to join a globally distributed team analyzing large genomic datasets and building predictive models to advance research from anywhere. The ideal candidate holds a Master’s/PhD in a genomics-related field, 3+ years of genomic data experience, and strong Python or R skills with Bioconductor and Pandas.

Cloud experience and remote collaboration are essential.

Qualifications

• Master's or PhD in a genomics-related field.
• 3+ years of genomic data analysis experience.
• Proficiency in Python or R with relevant libraries.
• Strong background in statistics and ML for genomics.
• Linux/Unix proficiency; exposure to cloud platforms (AWS/GCP).

Responsibilities

• Analyze large-scale genomic datasets to identify variations and expression patterns.
• Develop and implement statistical and ML models for genomic data analysis.
• Design computational experiments to test biological hypotheses.
• Collaborate with biologists and clinicians to interpret results remotely.
• Develop and maintain reproducible bioinformatics pipelines.
• Visualize genomic data and results for diverse audiences.
• Stay updated with genomics and computational biology advances.
• Contribute to development of new analytical methods and tools.

Skills

Python

R

Bioconductor

Pandas

NumPy

SciPy

Statistics

Machine learning

Linux/Unix

Cloud AWS/GCP

Education

Master's or PhD in genomics-related field

Tools

Bioconductor

Pandas

NumPy

SciPy

AWS

GCP

Job description

Placements24 seeks a remote Genomics Data Scientist to join a globally distributed team analyzing large genomic datasets and building predictive models to advance research from anywhere. The ideal candidate holds a Master’s/PhD in a genomics-related field, 3+ years of genomic data experience, and strong Python or R skills with Bioconductor and Pandas.

Cloud experience and remote collaboration are essential.