Remote Research Scientist - Bioinformatics

Placements24; Gqeberha; Hybrid; ZAR 1,499,000 - 2,332,000; Full time

Benefits offered by this job

Home office stipend

Flexible working hours

Job summary

Placements24 invites a remote Bioinformatics Research Scientist to design and optimize pipelines for genomic, transcriptomic, and proteomic data. You will develop novel computational methods and collaborate with bench scientists to interpret results in a distributed team setting.

The ideal candidate holds a PhD or MSc in a quantitative field, with 4+ years of bioinformatics experience, and strong Python or R skills.

Qualifications

• PhD or MSc in a quantitative field related to bioinformatics.
• At least 4 years of experience in bioinformatics or computational biology research.
• Proficiency in Python or R and experience with bioinformatics tools and databases.
• Experience analyzing next-generation sequencing (NGS) data.
• Strong statistics and machine learning knowledge.
• Excellent remote collaboration and communication skills.

Responsibilities

• Design, implement, and maintain bioinformatics pipelines for genomic, transcriptomic, and proteomic data.
• Develop novel computational methods to address specific biological research questions.
• Collaborate with experimental biologists to interpret results and guide future research directions.
• Perform statistical analysis, data mining, and visualization of complex biological datasets.
• Document research methodologies, code, and findings for reproducibility.
• Participate in virtual team meetings, contribute to project planning, and present findings remotely.

Skills

Python

R

Bioinformatics

NGS analysis

Statistics

Remote collaboration

Education

PhD or MSc in Bioinformatics/Computational Biology/CS/Statistics

Tools

Bioconductor

Job description

Our client is seeking a skilled Remote Research Scientist specializing in Bioinformatics to join their globally distributed team. This role focuses on developing and applying computational approaches to analyze large-scale biological datasets, driving critical insights for their research initiatives. You will work collaboratively with bench scientists and other computational experts to unravel complex biological questions and accelerate discovery. The ideal candidate is a self-motivated individual with a strong background in computational biology, excellent programming skills, and a proven ability to work effectively in a remote setting. This is an exciting opportunity to contribute to significant scientific advancements from the convenience of your home office, anywhere in the world.

Key Responsibilities

• Design, implement, and maintain bioinformatics pipelines for the analysis of genomic, transcriptomic, and proteomic data.
• Develop novel computational methods and algorithms to address specific biological research questions.
• Collaborate closely with experimental biologists to interpret results and guide future research directions.
• Perform statistical analysis, data mining, and visualization of complex biological datasets.
• Document research methodologies, code, and findings thoroughly for reproducibility.
• Participate in virtual team meetings, contribute to project planning, and present findings remotely.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in bioinformatics or computational biology research.
• Strong proficiency in programming languages like Python or R, and experience with relevant bioinformatics tools and databases.
• Demonstrated experience analyzing next-generation sequencing (NGS) data.
• Excellent understanding of statistical principles and machine learning techniques.
• Strong communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team environment.

Benefits

• Highly competitive salary, commensurate with experience.
• Comprehensive remote work support, including home office stipend.
• Flexible working hours, allowing for excellent work-life balance.
• Contribution to cutting-edge research in a dynamic scientific field.
• Opportunities for virtual professional development and online training.
• A truly global and collaborative work culture, connecting with experts worldwide.