Senior Research Scientist - Bioinformatics

Placements24; Midrand; Hybrid; ZAR 900,000 - 1,700,000; Full time

Benefits offered by this job

Health insurance

Conference attendance support

Flexible working hours

Job summary

Placements24 is seeking a Senior Research Scientist in Bioinformatics to join our innovative R&D team. This fully remote role focuses on developing computational methods to translate large-scale biological data into actionable insights for therapeutic development.

The ideal candidate has a PhD and 5+ years in bioinformatics, strong skills in Python, R, Perl, ML, and data visualization, and the ability to collaborate with wet-lab scientists and publish results.

Qualifications

• Ph.D. in a quantitative field (bioinformatics, computational biology, CS).
• 5+ years post-PhD in bioinformatics research (industry or academia).
• Proficiency in Python, R, and Perl; shell scripting experience.
• Experience with statistical analysis, ML, and data visualization.

Responsibilities

• Develop and implement advanced bioinformatics algorithms and pipelines for genomic, transcriptomic, and proteomic data.
• Design computational experiments to investigate mechanisms and identify drug targets.
• Collaborate with wet-lab scientists to interpret results and guide research.
• Manage large biological datasets with data integrity and accessibility.
• Present findings at conferences and publish in peer-reviewed journals.
• Mentor junior researchers and contribute to department strategy.

Skills

Python

R

Perl

Machine Learning

Data Visualization

Education

Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field

Tools

Bioinformatics tools

Public repositories

Job description

About the Role

Our client is seeking a highly motivated and experienced Senior Research Scientist specializing in Bioinformatics to join their innovative R&D team. This is a fully remote position, offering the flexibility to work from anywhere. You will play a pivotal role in advancing our understanding of complex biological systems through cutting-edge computational analysis. The ideal candidate will leverage their expertise in data analysis, algorithm development, and biological pathway interpretation to drive research initiatives forward. This role is crucial for translating large-scale biological data into actionable scientific insights, contributing significantly to the development of novel therapeutic strategies.

Key Responsibilities

• Develop and implement advanced bioinformatics algorithms and pipelines for the analysis of genomic, transcriptomic, and proteomic data.
• Design and execute computational experiments to investigate biological mechanisms and identify potential drug targets.
• Collaborate with wet-lab scientists and other researchers to interpret experimental results and guide future research directions.
• Manage and curate large biological datasets, ensuring data integrity and accessibility for research purposes.
• Present findings at scientific conferences and publish results in peer-reviewed journals.
• Mentor junior researchers and contribute to the overall scientific strategy of the department.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in bioinformatics research.
• Proficiency in programming languages such as Python, R, and Perl, along with experience in shell scripting.
• Extensive experience with common bioinformatics tools, databases, and public repositories.
• Demonstrated experience in statistical analysis, machine learning, and data visualization techniques.
• Strong understanding of molecular biology, genetics, and drug discovery processes.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and flexible working hours.
• Professional development opportunities and conference attendance support.
• Access to state-of-the-art computational resources and a collaborative virtual research environment.