Remote Senior Computational Biologist

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

Benefits offered by this job

Remote-first environment

Flexible schedule

Professional development allowance

Job summary

Placements24 invites a Senior Computational Biologist to join our remote-first research team. You will design and apply advanced computational analyses to large-scale transcriptomics, proteomics, and single-cell data, translating findings into actionable insights.

You will build scalable bioinformatics pipelines, collaborate with biologists and clinicians, and leverage machine learning to identify biomarkers and therapeutic targets, communicating complex results clearly to diverse audiences.

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, Statistics or related field.
• 7+ years in computational biology with complex data.
• Strong programming in Python or R with bioinformatics libraries.

Responsibilities

• Design and implement advanced computational analyses of large-scale biological datasets.
• Develop and maintain scalable bioinformatics pipelines for data processing and interpretation.
• Collaborate with biologists and clinicians to formulate hypotheses and translate findings.
• Utilize machine learning to identify biomarkers and therapeutic targets.
• Contribute to development of new computational tools and algorithms.
• Communicate complex findings through reports, presentations, and publications.

Skills

Python

R

Statistical modeling

Machine learning

Data visualization

Education

PhD in Computational Biology

Tools

Bioconductor

AWS

HPC

Job description

About the Role

Our client is actively seeking an accomplished Senior Computational Biologist to join their pioneering research team on a fully remote basis, based in Port Elizabeth . This vital role focuses on applying sophisticated computational and statistical methods to decode complex biological systems and drive the discovery of novel therapeutics. You will play a key role in analyzing vast datasets generated from high-throughput screening, genomics, and proteomics experiments, providing critical insights that shape research strategies. The successful candidate will be an independent thinker with exceptional analytical skills, passionate about utilizing data-driven approaches to unravel biological mysteries and contribute to significant advancements in medicine, all within a flexible, remote-first environment.

Key Responsibilities

• Design and implement advanced computational and statistical analyses of large-scale biological datasets, including transcriptomics, proteomics, and single-cell data.
• Develop and maintain scalable bioinformatics pipelines for data processing, quality control, and interpretation.
• Collaborate with experimental biologists and clinicians to formulate research hypotheses and translate data findings into actionable insights.
• Utilize machine learning and data mining techniques to identify key biological drivers, biomarkers, and therapeutic targets.
• Contribute to the development of new computational tools and algorithms to enhance biological understanding.
• Effectively communicate complex scientific findings and methodologies to diverse audiences through reports, presentations, and publications.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in computational biology, with a significant focus on analyzing complex biological data.
• Strong programming skills in Python or R, with extensive experience using bioinformatics libraries and tools.
• Deep understanding of statistical modeling, machine learning, and data visualization techniques applicable to biological data.
• Experience with cloud computing platforms (e.g., AWS, Azure) and high-performance computing environments is highly desirable.
• Proven ability to work independently and collaboratively in a remote setting, demonstrating excellent problem-solving and communication skills.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Full remote work flexibility, enabling a balanced work-life integration.
• Generous allowance for professional development, including courses and conference attendance.
• Opportunity to work on high-impact research projects contributing to the advancement of medical science.
• Be part of an innovative and supportive team dedicated to pushing the boundaries of biological research from anywhere.