Senior Computational Biologist

Placements24; Bloemfontein; Hybride; ZAR 2 030 000 - 3 046 000; Plein temps

Avantages offerts par ce poste

Health insurance

Home office allowance

Professional development

Résumé du poste

Placements24 is seeking a Senior Computational Biologist to join a fully remote team. You will analyze large-scale omics data, develop pipelines, and build predictive models to identify therapeutic targets and biomarkers.

The role emphasizes collaboration with global scientists and publication-ready documentation. The ideal candidate will have a PhD in a quantitative field and 5+ years in computational biology, with strong Python and R skills, ML knowledge, and experience with omics datasets.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• 5+ years of post-doctoral or industry experience in computational biology or bioinformatics.
• Proficiency in Python and R.
• Strong understanding of statistical modeling, machine learning techniques, and bioinformatics algorithms.

Responsabilités

• Develop and implement computational pipelines for analyzing high-throughput biological data (e.g., next-generation sequencing, microarrays, mass spectrometry).
• Perform statistical analysis and interpretation of complex biological datasets to identify patterns, correlations, and biomarkers.
• Collaborate with experimental biologists and chemists to design experiments and interpret results.
• Build predictive models for disease progression, drug response, or target identification.
• Develop and maintain reproducible computational workflows and associated documentation.
• Contribute to the development of new algorithms and methodologies for biological data analysis.
• Present research findings to internal teams and at scientific conferences.
• Stay current with the latest advancements in computational biology, bioinformatics, and relevant biological fields.
• Mentor junior computational biologists and contribute to team knowledge sharing.

Connaissances

Python

R

Statistical modeling

Machine learning

Bioinformatics

Formation

Ph.D. in Computational Biology or related

Outils

Bioconductor

NCBI

Ensembl

Description du poste

About the Role

Our client, a groundbreaking pharmaceutical research company, is looking for a talented Senior Computational Biologist to join their fully remote team. This position is central to advancing our understanding of complex biological systems and disease mechanisms through the application of advanced computational and statistical methods. You will analyze large-scale biological datasets, including genomics, transcriptomics, and proteomics data, to derive key biological insights and identify potential therapeutic targets. This role offers a unique opportunity to work on challenging, high-impact projects from the convenience of your home office, collaborating with a diverse group of scientists across the globe. The ideal candidate possesses a strong analytical mindset and a passion for leveraging data to drive biological discovery in a remote-first environment.

Key Responsibilities

• Develop and implement computational pipelines for analyzing high-throughput biological data (e.g., next-generation sequencing, microarrays, mass spectrometry).
• Perform statistical analysis and interpretation of complex biological datasets to identify patterns, correlations, and biomarkers.
• Collaborate with experimental biologists and chemists to design experiments and interpret results.
• Build predictive models for disease progression, drug response, or target identification.
• Develop and maintain reproducible computational workflows and associated documentation.
• Contribute to the development of new algorithms and methodologies for biological data analysis.
• Present research findings to internal teams and at scientific conferences.
• Stay current with the latest advancements in computational biology, bioinformatics, and relevant biological fields.
• Mentor junior computational biologists and contribute to team knowledge sharing.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in computational biology or bioinformatics.
• Proven experience in analyzing large-scale biological datasets (e.g., genomics, transcriptomics, proteomics).
• Proficiency in programming languages commonly used in data science, such as Python and R.
• Strong understanding of statistical modeling, machine learning techniques, and bioinformatics algorithms.
• Experience with relevant software packages and databases (e.g., Bioconductor, NCBI databases, Ensembl).
• Excellent problem-solving skills and the ability to think critically about biological questions.
• Demonstrated ability to work effectively and independently in a fully remote team setting.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.

Benefits

• competitive annual salary of ZAR
• health insurance
• a generous allowance for home office setup and expenses
• opportunities for professional development such as online courses and conference attendance
• access to cloud computing resources and collaborate with a world-class team of scientists