Remote Bioinformatics Research Associate

Placements24; Durban; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Health, dental, and vision insurance

Professional development allowance

Dynamic research environment

Job summary

Placements24 invites a skilled Research Associate with Bioinformatics specialization to join a fully remote scientific team. You will support large-scale data analyses in genomics and proteomics, develop computational tools, and interpret complex datasets in collaboration with experimental biologists.

The ideal candidate holds a Master's or Ph.D., is proficient in Python or R, and has experience with Linux environments and high-throughput data.

Qualifications

• Master's or Ph.D. in Bioinformatics, Computational Biology, CS, or related quantitative field.
• Experience analyzing high-throughput data (genomics, transcriptomics, proteomics).
• Proficiency with Python or R and bioinformatics libraries.
• Familiarity with statistics and ML for biological data.
• Linux/Unix CLI experience.
• Strong remote collaboration and communication skills.

Responsibilities

• Process, analyze, and interpret large-scale biological datasets (NGS, proteomics).
• Develop computational pipelines and visualization tools.
• Collaborate with experimental teams to define data requirements.
• Identify and integrate novel bioinformatics tools and databases.
• Troubleshoot data processing pipelines.
• Document methodologies and prepare reports.

Skills

Python

R

Linux/Unix

Data analysis

Remote collaboration

Education

Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field

Tools

Bioinformatics libraries

NGS data analysis

Job description

Placements24 invites a skilled Research Associate with Bioinformatics specialization to join a fully remote scientific team. You will support large-scale data analyses in genomics and proteomics, develop computational tools, and interpret complex datasets in collaboration with experimental biologists.

The ideal candidate holds a Master's or Ph.D., is proficient in Python or R, and has experience with Linux environments and high-throughput data.