Research Associate - Bioinformatics

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

About the Role

Our client is looking for a skilled Research Associate with a specialization in Bioinformatics to join their innovative, fully remote scientific team. This role is crucial for supporting large-scale data analysis projects, developing computational tools, and interpreting complex biological datasets derived from genomics and proteomics studies. You will work closely with experimental biologists and other bioinformaticians to uncover critical insights that drive our client's research agenda forward. This position offers the chance to contribute to impactful scientific discoveries while enjoying the flexibility and autonomy of a remote work arrangement.

Key Responsibilities

• Process, analyze, and interpret large-scale biological datasets, including next-generation sequencing (NGS) and mass spectrometry data.
• Develop and implement computational pipelines and algorithms for data analysis and visualization.
• Collaborate with experimental teams to define data analysis requirements and provide insights from complex datasets.
• Identify, evaluate, and integrate novel bioinformatics tools and databases to enhance analytical capabilities.
• Troubleshoot and resolve issues related to data processing and analysis pipelines.
• Contribute to the documentation of methodologies and the preparation of reports and presentations.

Requirements

• Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• Proven experience in analyzing high-throughput biological data, such as genomics, transcriptomics, or proteomics.
• Proficiency in scripting languages like Python or R, and experience with relevant bioinformatics libraries and packages.
• Familiarity with statistical methods and machine learning techniques applicable to biological data.
• Experience with command-line interfaces and working in a Linux/Unix environment.
• Strong problem-solving abilities and effective communication skills for remote collaboration.

Benefits

• Competitive salary and performance incentives.
• Fully remote work arrangement, offering significant flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous allowance for professional development and continuing education.
• Contribution to a dynamic and forward-thinking research environment.