Remote Genomics Data Scientist (Bioinformatics)

Placements24; Kempton Park; Remote; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Remote-first culture

Competitive salary

Home office stipend

Flexible hours

Learning opportunities

Global team collaboration

Job summary

Placements24 is seeking a highly skilled Remote Bioinformatician to join a pioneering research division. The role focuses on analyzing large sequencing datasets, building computational pipelines, and extracting actionable biological insights from a remote work environment.

The ideal candidate holds a Ph.D. or MS in Bioinformatics or a related field, has strong Python or R skills, and can collaborate effectively with a global team to advance genomics research.

Qualifications

• Ph.D. or MS in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Demonstrated experience in analyzing large-scale genomic and transcriptomic datasets.
• Proficiency in Python or R and common bioinformatics tools.

Responsibilities

• Develop and maintain bioinformatics pipelines for high-throughput sequencing data (WGS, RNA-Seq, ChIP-Seq).
• Analyze large genomic datasets to identify variations and expression patterns.
• Collaborate with biologists to define questions and design analyses.
• Visualize genomic data and present findings clearly to diverse audiences.
• Contribute to new algorithms and software tools; ensure data integrity and reproducibility.
• Stay current with bioinformatics tools and methods; participate in team strategy meetings.

Skills

Python

R

Genomics data analysis

Remote work experience

Education

Ph.D. or MS in Bioinformatics/Computational Biology/related

Tools

SAMtools

BWA

GATK

Ensembl

NCBI

Docker

AWS / GCP / Azure

Job description

Placements24 is seeking a highly skilled Remote Bioinformatician to join a pioneering research division. The role focuses on analyzing large sequencing datasets, building computational pipelines, and extracting actionable biological insights from a remote work environment.

The ideal candidate holds a Ph.D. or MS in Bioinformatics or a related field, has strong Python or R skills, and can collaborate effectively with a global team to advance genomics research.