Senior Bioinformatician

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

Benefits offered by this job

Remote work

Health insurance

Professional development budget

Access to HPC resources

Conferences & courses

Job summary

Placements24 is seeking a Senior Bioinformatician to join a remotely operating research team. The role focuses on analyzing genomic, transcriptomic, and proteomic data, building robust pipelines, and applying statistics and ML to drive discoveries from your own location.

You will collaborate with scientists across disciplines, develop visualization algorithms, and contribute to project documentation while staying current with evolving bioinformatics methods.

Qualifications

• Master's or Ph.D. in a quantitative field.
• Minimum 5 years of professional bioinformatics experience.
• Strong programming in Python, R, Perl or Java.
• Extensive experience with common bioinformatics tools, databases and algorithms.
• Proficiency in statistical analysis and ML techniques.
• Excellent problem-solving and remote collaboration communication.

Responsibilities

• Design, develop, and maintain robust bioinformatics pipelines for analyzing large-scale biological data.
• Perform complex statistical analyses and data mining on genomic, transcriptomic, and proteomic datasets.
• Collaborate with experimental biologists to interpret results and guide research strategies.
• Develop and implement algorithms for data visualization and interpretation.
• Contribute to the documentation and presentation of findings to scientific and technical teams.
• Stay updated on the latest advancements in bioinformatics and computational biology.

Skills

Python

R

Perl

Java

Statistical analysis

Machine learning

Remote collaboration

Education

Master's or Ph.D. in Bioinformatics, Computer Science, Statistics, Biology

Tools

BLAST

Bioconductor

GSEA

Job description

About the Role

Our client is seeking a talented and experienced Senior Bioinformatician to join their expanding research team, operating entirely remotely . This role is critical for the analysis of complex biological data, including genomic, transcriptomic, and proteomic datasets, to drive insights and discoveries. You will be responsible for developing and applying computational tools and pipelines to support various research projects. As a key member of a forward-thinking organization, you will collaborate with scientists across different disciplines to translate data into actionable biological knowledge, working from the convenience of your own location.

Key Responsibilities

• Design, develop, and maintain robust bioinformatics pipelines for analyzing large-scale biological data.
• Perform complex statistical analyses and data mining on genomic, transcriptomic, and proteomic datasets.
• Collaborate with experimental biologists to interpret results and guide research strategies.
• Develop and implement algorithms for data visualization and interpretation.
• Contribute to the documentation and presentation of findings to scientific and technical teams.
• Stay updated on the latest advancements in bioinformatics, computational biology, and relevant scientific fields.

Requirements

• Master's or Ph.D. in Bioinformatics, Computer Science, Statistics, Biology, or a related quantitative field.
• Minimum of 5 years of professional experience in bioinformatics or computational biology.
• Strong programming skills in languages such as Python, R, Perl, or Java.
• Extensive experience with common bioinformatics tools, databases, and algorithms.
• Proficiency in statistical analysis and machine learning techniques.
• Excellent problem-solving abilities and effective communication skills for remote collaboration.

Benefits

• Competitive salary and performance-related bonuses.
• A fully remote working environment, offering significant flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, including courses and conferences.
• Opportunity to work on cutting-edge research projects with a global impact.
• Access to high-performance computing resources.