Remote Senior Computational Biologist

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary & bonus

Remote work support

Health insurance

Generous PTO & flexible hours

Global distributed team

Job summary

Placements24 is seeking a Senior Computational Biologist to join a fully remote R&D team. You will analyze large-scale genomic, transcriptomic, and proteomic data to uncover insights that drive therapeutic discovery and scientific innovation.

The role requires a Ph.D. or master's in a quantitative field and 5+ years in bioinformatics. Proficiency in Python or R, with ML and multi-omics experience, is essential for success in a flexible, globally distributed environment.

Qualifications

• Ph.D. or Master's in a quantitative field.
• 5+ years in computational biology or bioinformatics.
• Proficiency in Python or R and scientific libraries.
• Experience with large-scale data analysis and machine learning.

Responsibilities

• Design and implement pipelines for multi-omics data analysis (genomics, transcriptomics, proteomics).
• Develop statistical models and ML methods to identify biomarkers and predict therapeutic responses.
• Collaborate with experimental biologists and clinicians to interpret results and form hypotheses.
• Visualize complex biological data for diverse audiences.
• Contribute to internal tools and databases to enhance data management.
• Stay current with computational biology, bioinformatics and data science advances.

Skills

Python

R

Machine Learning

Education

Ph.D. in Computational Biology

Tools

NumPy/SciPy

Bioconductor

TCGA

Job description

About the Role

Our client is seeking a highly skilled Senior Computational Biologist to join their dynamic, fully remote research team. This role is critical for advancing our understanding of complex biological systems through the application of advanced bioinformatics and data science techniques. You will be responsible for analyzing large-scale genomic, transcriptomic, and proteomic datasets to identify novel insights and drive therapeutic discovery. This is an excellent opportunity for an experienced computational biologist to work remotely from anywhere, contributing to groundbreaking research within a collaborative, agile, and scientifically driven organization.

Key Responsibilities

• Design and implement sophisticated computational pipelines for the analysis of multi-omics biological data (genomics, transcriptomics, proteomics, etc.).
• Develop and apply statistical and machine learning models to uncover biological patterns, identify disease biomarkers, and predict therapeutic responses.
• Collaborate closely with experimental biologists, clinicians, and other computational scientists to interpret results and formulate new research hypotheses.
• Visualize complex biological data in an intuitive and informative manner for diverse audiences.
• Contribute to the development of internal tools and databases to enhance data management and analysis capabilities.
• Stay current with the latest advancements in computational biology, bioinformatics, and data science methodologies.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in computational biology or bioinformatics research, preferably in a drug discovery or biomedical research setting.
• Proficiency in programming languages such as Python or R, and experience with relevant scientific libraries.
• Strong experience with large-scale data analysis, statistical modeling, and machine learning algorithms.
• Familiarity with various biological databases and public repositories (e.g., NCBI, Ensembl, TCGA).
• Excellent problem-solving skills and the ability to work independently and effectively in a remote setting.

Benefits

• Competitive salary and bonus structure, reflecting your expertise and experience.
• Comprehensive remote work support, including equipment and home office stipends.
• Excellent health, dental, and vision insurance plans.
• Generous paid time off and flexible working hours.
• Opportunity to work on impactful projects with a globally distributed, talented team focused on scientific innovation from Richards Bay and beyond.