Bioinformatics Scientist - Data Analysis

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

Benefits offered by this job

Health insurance

Paid time off

Flexible remote hours

Professional development

High-performance computing resources

Virtual collaboration environment

Job summary

Placements24 is seeking a highly skilled Bioinformatics Scientist focused on data analysis within a cutting-edge research organization. This fully remote role lets you apply computational biology and data science to large-scale omics datasets, including genomics and transcriptomics, while collaborating with a globally distributed team of scientists.

You will develop and apply computational methods, design databases, and create visualizations to communicate findings, contributing to high-impact

Qualifications

• Ph.D. or Master’s degree in a quantitative field (Bioinformatics, Computational Biology, CS, Statistics).
• Proven experience in analyzing high-throughput biological data, with genomics/transcriptomics focus.
• Proficiency in Python or R and bioinformatics libraries/tools.
• Strong statistics and machine learning knowledge for biological data.
• Shell scripting and Linux/Unix experience.
• Ability to work independently and remotely.

Responsibilities

• Develop, implement, and optimize bioinformatics pipelines for omics data.
• Perform statistical analysis and data mining to identify patterns.
• Collaborate with biologists and clinicians to define questions and interpret results.
• Design and build databases or knowledge bases for biological information.
• Create visualizations to communicate data findings to diverse audiences.
• Contribute to development of novel analytical approaches and tools.

Skills

Python

R

Bioinformatics

Data analysis

Machine learning

Linux/Unix

Education

Ph.D. in Bioinformatics or related

Master's degree in related field

Tools

Shell scripting

Bioconductor

Linux

Python libraries (pandas, numpy)

Jupyter

Job description

About the Role

Our client is seeking a highly skilled Bioinformatics Scientist to focus on Data Analysis within their cutting-edge research organization. This fully remote position allows you to leverage your expertise in computational biology and data science to drive insights from large-scale biological datasets. You will work on diverse projects, including genomics, transcriptomics, and proteomics, developing and applying computational methods to unravel complex biological questions. This is an excellent opportunity for a motivated individual to contribute to high-impact research and collaborate with a globally distributed team of scientists, fostering innovation in a virtual environment.

Key Responsibilities

• Develop, implement, and optimize bioinformatics pipelines for processing and analyzing large-scale omics data (genomics, transcriptomics, proteomics).
• Perform sophisticated statistical analysis and data mining to identify biological patterns and significant findings.
• Collaborate with experimental biologists and clinicians to define research questions and interpret results.
• Design and build databases or knowledge bases to store and retrieve biological information.
• Create compelling visualizations to communicate complex data findings to diverse audiences.
• Contribute to the development of novel analytical approaches and computational tools.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Proven experience in analyzing high-throughput biological data, with a strong focus on genomics and/or transcriptomics.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries and tools.
• Solid understanding of statistical methods and machine learning algorithms applicable to biological data.
• Experience with shell scripting and working in a Linux/Unix environment.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a remote setting.

Benefits

• Competitive salary and potential for annual performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and flexible remote working hours.
• Opportunities for professional growth, including workshops and conference attendance.
• Access to high-performance computing resources.
• A stimulating virtual work environment focused on scientific innovation and collaboration.