Remote Research Scientist - Computational Biology

Placements24; East London; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Professional development budget

Conference attendance

Job summary

Placements24 is seeking a talented Remote Research Scientist (Computational Biology) to join a cutting-edge research group. The role is fully remote, allowing you to contribute from your location while working with a diverse team of scientists.

You will analyze large biological datasets, develop models, and collaborate with clinicians and biologists. A PhD and strong Python/R skills are essential; cloud/HPC experience is a plus.

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, Statistics or related field.
• Proven experience analyzing complex biological datasets with computational methods.
• Strong programming skills in Python or R and related bioinformatics tools.

Responsibilities

• Analyze and interpret large-scale biological datasets (genomics, transcriptomics, proteomics, metabolomics).
• Develop computational models to understand pathways and regulatory networks.
• Collaborate with experimental biologists and other computational scientists to define research questions.
• Implement and maintain bioinformatics pipelines for data processing and QC.
• Contribute to development of new computational tools for biological research.
• Communicate findings via presentations, reports, and publications.

Skills

Python

R

Data mining

Machine learning

Network analysis

HPC / cloud

Education

PhD in Computational Biology or related field

Tools

Bioconductor

Python libraries

R packages

Job description

About the Role

Our client is seeking a talented and driven Remote Research Scientist specializing in Computational Biology to join their innovative research group. This position is fully remote, offering flexibility and the chance to contribute to significant scientific breakthroughs from your own location. You will leverage advanced computational techniques and large biological datasets to uncover novel insights into complex biological systems, disease mechanisms, and potential therapeutic targets. This role is ideal for a scientist passionate about applying cutting-edge bioinformatics and data science methods to solve critical biological questions.

Key Responsibilities

• Analyze and interpret large-scale biological datasets, including genomics, transcriptomics, proteomics, and metabolomics data.
• Develop and apply computational models and algorithms to understand biological pathways, regulatory networks, and cellular processes.
• Collaborate closely with experimental biologists, clinicians, and other computational scientists to define research questions and experimental designs.
• Implement and maintain bioinformatics pipelines for data processing, quality control, and analysis.
• Contribute to the development of new computational tools and methodologies for biological research.
• Communicate research findings effectively through presentations, reports, and peer-reviewed publications.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Proven experience in analyzing complex biological datasets using computational and statistical methods.
• Strong programming skills in languages such as Python or R, and familiarity with relevant bioinformatics libraries and tools.
• Expertise in data mining, machine learning, and network analysis techniques applied to biological data.
• Experience with high-performance computing environments and cloud platforms is a plus.
• Excellent communication and collaboration skills for working effectively in a remote research setting.

Benefits

• Competitive salary and the advantage of working entirely remotely.
• Opportunity to contribute to high-impact computational biology research.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, including courses and conference attendance.
• A stimulating and supportive virtual work environment fostering scientific collaboration.