Senior Remote Research Scientist - Computational Biology

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

Benefits offered by this job

Competitive salary

Global health insurance

Budget for professional development

Flexible work hours

Remote work from anywhere

Job summary

Placements24 in South Africa seeks a Senior Remote Research Scientist in Computational Biology to lead genomics, transcriptomics, and proteomics projects from anywhere.

You will design computational models, build scalable pipelines, and collaborate with clinicians to translate findings into impactful insights. A PhD with 6+ years in bioinformatics and strong Python/R skills are required; remote work and global collaboration are core to this role.

Qualifications

• PhD in a related quantitative field is required.
• Minimum of 6 years of computational biology or bioinformatics research experience, preferably in biotech/pharma.
• Proficiency with analysing large-scale biological data (e.g., NGS).

Responsibilities

• Lead design and execution of computational biology research projects across omics for insights.
• Develop algorithms and statistical models for large datasets.
• Collaborate with experimental biologists and clinicians to interpret findings and generate hypotheses.
• Build and maintain robust bioinformatics pipelines for data processing and analysis.
• Mentor junior computational scientists and guide scientific direction.
• Communicate results through presentations and publications.

Skills

Python

R

Bioinformatics

Remote collaboration

Data analysis

Education

PhD in Computational Biology / Bioinformatics

Tools

Bioconductor

NCBI/Ensembl

DESeq2

Job description

About the Role

Our client is a global leader in life sciences research and is seeking an exceptional Senior Remote Research Scientist specializing in Computational Biology . This fully remote position offers the opportunity to work from anywhere while contributing to groundbreaking discoveries. You will lead complex bioinformatics projects, develop cutting-edge computational models, and analyze large-scale biological datasets to uncover novel insights. This role is critical for driving innovation and requires a highly motivated individual capable of working autonomously and collaborating effectively across distributed teams. Join us in advancing biological understanding from the comfort of your home office.

Key Responsibilities

• Lead the design and execution of computational biology research projects, including genomics, transcriptomics, and proteomics analysis.
• Develop and implement advanced algorithms and statistical models for analyzing large biological datasets.
• Collaborate with experimental biologists and clinicians to interpret findings and formulate new research hypotheses.
• Build and maintain robust bioinformatics pipelines and workflows for data processing and analysis.
• Mentor junior computational scientists and contribute to the scientific direction of the team.
• Communicate complex scientific results through presentations, publications, and internal reports to a global audience.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience in computational biology or bioinformatics research, preferably within the biotech or pharmaceutical industry.
• Expertise in analyzing large-scale biological data (e.g., next-generation sequencing data).
• Proficiency in programming languages such as Python, R, and relevant bioinformatics tools and databases.
• Strong understanding of molecular biology principles and biological pathways.
• Excellent communication, collaboration, and problem-solving skills, with a proven ability to work effectively in a remote setting.

Benefits

• A highly competitive salary, commensurate with experience and remote location.
• Comprehensive health, dental, and vision insurance coverage, accessible globally.
• Significant budget for professional development, including online courses and virtual conferences.
• Flexible work hours and the ability to work from anywhere with a reliable internet connection.
• Opportunity to contribute to impactful research with a globally distributed, innovative team.