Senior Bioinformatics Scientist - Computational Biology

Placements24; Kimberley; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote work

Professional development budget

Medical, dental, and vision insurance

Job summary

Placements24 is seeking a Senior Bioinformatics Scientist to join a fully remote research team and advance computational approaches to analyze complex biological data. You will develop pipelines, collaborate with biologists and clinicians, publish findings, and contribute to novel algorithms.

The role requires a PhD and 5+ years of experience, strong Python/R/Perl, and experience with large datasets and ML. This position offers substantial flexibility and a global collaboration environment.

Qualifications

• PhD required in bioinformatics, computational biology, CS, statistics, or related field.
• 5+ years of bioinformatics or computational biology research.
• Strong programming in Python, R, or Perl.
• Experience analyzing large biological datasets with statistical and ML techniques.
• Familiarity with major biological databases and computational biology tools and platforms.

Responsibilities

• Develop and implement advanced computational and statistical methods for analyzing diverse biological datasets (genomics, proteomics, transcriptomics).
• Design and manage bioinformatics pipelines for large-scale data processing and analysis.
• Collaborate with experimental biologists and clinicians to address complex biological questions.
• Visualize and interpret complex biological data to generate actionable insights.
• Contribute to the development of novel algorithms and software tools for biological research.
• Author scientific publications and present findings at international conferences.

Skills

Python

R

Perl

Education

PhD in Bioinformatics

Tools

Bioconductor

Bioinformatics databases

Job description

About the Role

Our client is seeking a highly motivated Senior Bioinformatics Scientist to join their innovative and fully remote research team. This role focuses on leveraging computational approaches to analyze complex biological data, contributing to significant advancements in understanding disease mechanisms and identifying novel therapeutic targets. You will play a key role in developing and applying cutting‑edge computational methods to interpret large-scale datasets, collaborating with a diverse team of scientists worldwide. This position offers an excellent opportunity to drive impactful research in computational biology from any location.

Key Responsibilities

• Develop and implement advanced computational and statistical methods for analyzing diverse biological datasets (genomics, proteomics, transcriptomics).
• Design and manage bioinformatics pipelines for large-scale data processing and analysis.
• Collaborate with experimental biologists and clinicians to address complex biological questions.
• Visualize and interpret complex biological data to generate actionable insights.
• Contribute to the development of novel algorithms and software tools for biological research.
• Author scientific publications and present findings at international conferences.

Requirements

• PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• 5+ years of experience in bioinformatics or computational biology research.
• Strong proficiency in programming languages such as Python, R, or Perl.
• Expertise in analyzing large biological datasets using statistical and machine learning techniques.
• Familiarity with major biological databases and computational biology tools and platforms.
• Excellent communication, collaboration, and problem‑solving skills, essential for remote work across different regions including Northern Cape.

Benefits

• Highly competitive salary with excellent performance-based rewards.
• Fully remote work arrangement, providing significant flexibility and autonomy.
• Comprehensive medical, dental, and vision insurance coverage.
• Generous budget for professional development, including attending conferences and workshops.
• Opportunity to contribute to groundbreaking research in computational biology and impact scientific discovery globally.