Senior Computational Biologist

Placements24; Stellenbosch; Hybrid; ZAR 1,998,000 - 2,997,000; Full time

Benefits offered by this job

Remote work

Health insurance

Professional development

Groundbreaking research

Job summary

Placements24 is seeking a Senior Computational Biologist to join a fully remote research team. You will analyze large-scale omics datasets (genomics, transcriptomics, proteomics), develop computational methods and statistical models, and collaborate with biologists and clinicians to drive discovery.

The role requires a PhD with at least 5 years post-PhD experience, proficiency in Python or R, experience with cloud environments and Git, and strong communication for remote collaboration.

Qualifications

• PhD in a quantitative biology field.
• At least 5 years post-PhD experience in computational biology or bioinformatics.
• Proficiency in Python or R with relevant libraries.
• Experience analyzing genomic and/or transcriptomic data.
• Familiarity with cloud computing and version control (Git).
• Excellent remote collaboration and communication skills.

Responsibilities

• Design and implement computational pipelines for high-throughput data (NGS, microarrays, proteomics).
• Develop statistical and machine learning models to identify patterns and biomarkers.
• Collaborate with experimental biologists and clinicians to define research questions and interpret results.
• Develop visualization tools to communicate complex data and findings.
• Contribute to experimental design with computational input.
• Stay updated on advances in computational biology and bioinformatics.

Skills

Python

R

Data analysis

Git

Remote collaboration

Statistics

Education

PhD in Computational Biology

Tools

Git

Cloud computing

NGS pipelines

Job description

About the Role

Our client is seeking an exceptional Senior Computational Biologist to join their innovative research team, operating in a fully remote capacity. This role is critical for analyzing and interpreting large-scale biological datasets, including genomics, transcriptomics, and proteomics, to uncover novel insights and drive discovery programs. You will develop and apply advanced computational methods, algorithms, and statistical models to address complex biological questions. The ideal candidate will possess a strong foundation in biology combined with significant expertise in computational analysis and programming, contributing to cutting-edge research from anywhere.

Key Responsibilities

• Design and implement computational pipelines for the analysis of high-throughput biological data (NGS, microarrays, proteomics).
• Develop and apply statistical and machine learning models to identify significant biological patterns and biomarkers.
• Collaborate closely with experimental biologists and clinicians to define research questions and interpret results.
• Develop visualization tools and strategies to effectively communicate complex data and findings.
• Contribute to the design of experiments by providing computational input on data generation strategies.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant biological fields.

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.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and tools.
• Strong experience in analyzing genomic and/or transcriptomic datasets.
• Familiarity with database management, cloud computing environments, and version control systems (e.g., Git).
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.

Benefits

• Highly competitive salary commensurate with experience and fully remote work flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget for conferences, courses, and training.
• Opportunity to work on groundbreaking research with a leading team in the field.
• Flexible working hours and a focus on work-life balance for remote employees.