Research Scientist - Computational Biology

Placements24; Benoni; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Home office allowance

Online learning

Remote-first culture

Job summary

Placements24 is seeking a Research Scientist in Computational Biology to join a globally distributed, remote research team. You will analyze large-scale omics datasets (genomics, proteomics, transcriptomics) and apply advanced computational methods from your home office.

The ideal candidate holds a PhD and has strong skills in Python or R, statistics, and bioinformatics, with a track record of remote collaboration and scientific communication.

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, or related field.
• Experience analyzing large-scale biological data with ML/statistics.
• Proficiency in Python or R.
• Experience with remote team collaboration.

Responsibilities

• Design and implement computational pipelines for high-throughput data.
• Develop ML models to identify biomarkers and targets.
• Collaborate with experimental scientists to interpret results.
• Visualize data for publications and presentations.
• Develop new algorithms and software for data analysis.
• Stay updated on advances in computational biology.

Skills

Python

R

Bioinformatics

Statistics

Remote collaboration

Education

PhD in Computational Biology or related field

Tools

Bioinformatics tools

Job description

About the Role

Our client is actively recruiting a talented Research Scientist in Computational Biology to join their innovative, globally distributed research team. This remote position is critical for analyzing large-scale biological datasets, including genomics, proteomics, and transcriptomics, to uncover novel insights and drive therapeutic discovery. You will collaborate with experimental biologists and data scientists to develop and apply advanced computational methods, contributing to groundbreaking research from your home office. The ideal candidate possesses a strong background in bioinformatics, statistics, and programming, with a passion for advancing biological understanding through data-driven approaches in a remote setting.

Key Responsibilities

• Design and implement computational pipelines for the analysis of high-throughput biological data (e.g., next-generation sequencing, microarrays).
• Develop and apply statistical and machine learning models to identify patterns, biomarkers, and potential drug targets.
• Collaborate with experimental scientists to interpret results and design follow-up studies.
• Visualize complex biological data in clear and informative ways for presentations and publications.
• Contribute to the development of novel algorithms and software tools for biological data analysis.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Proven experience in analyzing large-scale biological datasets and applying statistical or machine learning methods.
• Proficiency in programming languages commonly used in bioinformatics, such as Python or R.
• Familiarity with bioinformatics databases, tools, and software packages.
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Strong problem-solving skills and a proactive approach to research challenges.

Benefits

• Highly competitive annual salary and potential for bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous home office setup allowance and ongoing technology support.
• Extensive opportunities for professional growth through online learning and virtual conferences.
• A flexible and supportive remote-first work culture that values innovation and scientific contribution.