Remote Postdoctoral Researcher - Computational Biology

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Professional development

Cloud resources

International collaboration

Home office reimbursement

Job summary

Placements24 is seeking a Remote Postdoctoral Researcher in Computational Biology for a world-renowned research institution. You will design pipelines for genomic data, apply machine learning to biological questions, and collaborate with scientists across time zones.

You will develop new bioinformatics tools, ensure reproducibility, and prepare manuscripts for peer-reviewed journals. The role offers flexible hours, remote work, cloud resources, and opportunities for development.

Qualifications

• PhD in Computational Biology, Bioinformatics, CS or related quantitative field.
• Experience analyzing large genomic, transcriptomic, proteomic data.
• Proficiency in Python or R and bioinformatics libraries.
• Strong statistics and machine learning applied to biology.
• Unix/Linux and HPC experience; excellent communication.

Responsibilities

• Design and implement pipelines for large-scale omics data.
• Develop and apply ML algorithms to identify patterns and build models.
• Collaborate with experimentalists to interpret results and plan experiments.
• Contribute to new bioinformatics tools and software development.
• Analyze and visualize data; ensure reproducibility and data integrity.
• Prepare manuscripts for high-impact journals.
• Present findings at virtual conferences and meetings.

Skills

Python

R

Bioconductor

Machine Learning

Unix/Linux

Statistical Methods

HPC

Remote collaboration

Education

PhD in Computational Biology

Tools

Python

R

SciPy

Jupyter

Git

Job description

About the Role

Our client is a world-renowned research institution seeking a highly skilled and motivated Remote Postdoctoral Researcher specializing in Computational Biology. This fully remote position offers an exceptional opportunity to contribute to cutting-edge research from the comfort of your own location. You will leverage your expertise in bioinformatics and computational methods to analyze complex biological datasets, develop novel algorithms, and uncover insights into biological systems. The role involves close collaboration with a diverse team of scientists across different time zones, utilizing advanced computational tools and platforms. We are committed to fostering an inclusive and dynamic research environment, regardless of physical location, and seek individuals passionate about advancing scientific knowledge.

Key Responsibilities

• Design and implement computational pipelines for the analysis of large-scale genomic, transcriptomic, and proteomic data.
• Develop and apply machine learning algorithms to identify patterns, predict biological outcomes, and build models.
• Collaborate with experimental biologists to interpret results and design new experiments based on computational findings.
• Contribute to the development of new bioinformatics tools and software.
• Analyze and visualize complex biological data, ensuring reproducibility and data integrity.
• Prepare manuscripts for publication in high-impact peer-reviewed journals.
• Present research findings at virtual scientific conferences and internal meetings.
• Maintain up-to-date knowledge of the latest advancements in computational biology and bioinformatics.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Demonstrated experience in analyzing large biological datasets (genomics, transcriptomics, proteomics).
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries (e.g., Bioconductor, SciPy).
• Strong understanding of statistical methods and machine learning techniques relevant to biological data.
• Experience with Unix/Linux operating systems and high-performance computing environments.
• Excellent problem-solving and analytical skills.
• Strong written and verbal communication skills, with the ability to collaborate effectively in a remote setting.
• Must have a reliable internet connection and a dedicated home office setup.

Benefits

• Competitive remote salary package up to R per annum.
• Flexible working hours to accommodate different time zones.
• Opportunities for professional development and virtual conference attendance.
• Access to cloud computing resources and advanced bioinformatics tools.
• Collaborate with a leading international team of researchers.
• Contribute to impactful scientific discoveries that advance global health.
• Potential for long-term engagement based on performance and project needs.
• Reimbursement for home office setup and internet expenses.