Remote Senior Research Scientist - Computational Biology

Placements24; Vereeniging; Híbrido; ZAR 1 200 000 - 1 800 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

Health insurance

Home office allowance

Professional development

Global research impact

Resumo da oferta

Placements24 is seeking a Senior Research Scientist in Computational Biology to join a globally distributed research team. This fully remote role focuses on developing computational approaches to analyze genomics, proteomics, and transcriptomics data to drive discovery in disease mechanisms and drug development.

The ideal candidate will have a PhD and at least seven years in the field, strong Python or R skills, and experience applying machine learning to biological data.

Qualificações

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics or related field.
• Minimum of 7 years of computational biology or bioinformatics research experience.
• Expertise in Python or R with bioinformatics libraries and tools.
• Strong experience with machine learning techniques applied to biological data.

Responsabilidades

• Design computational strategies to analyze large-scale biological datasets.
• Develop algorithms and models for data mining, pattern recognition, and hypothesis generation.
• Collaborate with experimental biologists to interpret results and guide research directions.
• Build and maintain data analysis pipelines and workflows.
• Stay updated on advances in computational biology and bioinformatics.
• Communicate findings through presentations and publications.

Conhecimentos

Problem solving

Remote teamwork

Machine learning

Formação académica

PhD in Computational Biology

Ferramentas

Python

R

Bioinformatics tools

Descrição da oferta de emprego

About the Role

Our client is seeking a highly accomplished Senior Research Scientist specializing in Computational Biology to join their globally distributed research team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in developing and applying computational approaches to analyze complex biological datasets, such as genomics, proteomics, and transcriptomics, to drive discovery in areas like disease mechanisms and drug development. The ideal candidate will possess advanced skills in bioinformatics, machine learning, and statistical modeling, combined with a strong biological understanding and a passion for solving intricate scientific problems through data.

Key Responsibilities

• Design and implement computational strategies to analyze large-scale biological datasets.
• Develop and apply algorithms and statistical models for data mining, pattern recognition, and hypothesis generation.
• Collaborate with experimental biologists to interpret results and guide future research directions.
• Build and maintain robust data analysis pipelines and workflows.
• Stay abreast of advancements in computational biology, bioinformatics, and relevant biological fields.
• Communicate complex findings effectively through presentations and publications.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in computational biology or bioinformatics research.
• Expertise in programming languages such as Python or R, and proficiency with relevant bioinformatics libraries and tools.
• Strong experience with machine learning techniques applied to biological data.
• Solid understanding of biological pathways, molecular biology, and genomics.
• Excellent problem-solving abilities and experience working in a remote, collaborative team environment.

Benefits

• Highly competitive salary and performance-based bonuses.
• Work from anywhere flexibility as a fully remote employee.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and professional development.
• Opportunity to contribute to high-impact research with global reach.