Senior Computational Biologist

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Remote-friendly

Competitive salary

Bonuses

Professional development budget

Job summary

Placements24 is seeking a Senior Computational Biologist to join its globally distributed research team in a remote-first role. You will design and apply computational strategies to genomics and transcriptomics data, collaborating with bench scientists, bioinformaticians, and data scientists to translate findings into actionable insights.

The successful candidate will develop pipelines, build predictive models, and contribute to visualization tools while documenting methods and results for

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, Statistics or related field.
• Minimum 5 years applying computational approaches to biological research problems.
• Strong programming and data analysis skills.
• Excellent communication in a remote, collaborative setting.

Responsibilities

• Develop and implement advanced computational and statistical methods for analyzing large-scale biological datasets, including genomic, transcriptomic, and proteomic data.
• Design and execute bioinformatics pipelines for data processing, quality control, and interpretation.
• Collaborate with experimental biologists to define research questions and design appropriate analyses.
• Build predictive models and machine learning algorithms to identify patterns and generate hypotheses.
• Contribute to the development of visualization tools and dashboards for data exploration.

Skills

Python

R

Bioinformatics tools

Databases

Algorithm development

Remote collaboration

Communication

Education

PhD in Computioal Biology / Bioinformatics / CS / Statistics

Tools

Python

R

Bioconductor

Bioinformatics pipelines

Machine learning frameworks

Job description

About the Role

Our client is actively seeking a highly skilled Senior Computational Biologist to join their globally distributed research team. This role is pivotal in driving insights from complex biological datasets, particularly in the realm of genomics and transcriptomics, to accelerate scientific discovery. Operating in a remote-first environment, you will collaborate closely with bench scientists, bioinformaticians, and data scientists to develop analytical strategies and translate findings into actionable knowledge. This is an exceptional opportunity for an experienced computational biologist to significantly impact research direction and contribute to breakthrough discoveries from anywhere, fostering a culture of innovation and remote collaboration.

Key Responsibilities

• Develop and implement advanced computational and statistical methods for analyzing large-scale biological datasets, including genomic , transcriptomic, and proteomic data.
• Design and execute bioinformatics pipelines for data processing, quality control, and interpretation.
• Collaborate with experimental biologists to define research questions and design appropriate analyses.
• Build predictive models and machine learning algorithms to identify patterns and generate hypotheses.
• Contribute to the development of visualization tools and dashboards for data exploration.
• Document methodologies, code, and results thoroughly, and present findings to diverse audiences.

Requirements

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of experience applying computational approaches to biological research problems.
• Strong proficiency in programming languages commonly used in bioinformatics, such as Python and R.
• Extensive experience with various bioinformatics tools, databases, and algorithm development.
• Solid understanding of biological principles and experimental workflows.
• Excellent communication skills and proven ability to work effectively in a remote , collaborative setting.

Benefits

• Highly competitive salary and potential for performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible working hours and a supportive remote work environment.
• Generous budget for professional development, including conferences and online courses.
• Opportunity to work on cutting-edge biological research with a global team, contributing to significant scientific advancements.